Careers of Doctorate Holders

Please cite this paper as:
Auriol, L., M. Misu and R. A. Freeman (2013), “Careers of
Doctorate Holders: Analysis of Labour Market and Mobility
Indicators”, OECD Science, Technology and Industry Working
Papers, 2013/04, OECD Publishing.
http://dx.doi.org/10.1787/5k43nxgs289w-en
OECD Science, Technology and Industry
Working Papers 2013/04
Careers of Doctorate
Holders
ANALYSIS OF LABOUR MARKET AND MOBILITY
INDICATORS
Laudeline Auriol, Max Misu,
Rebecca A. Freeman

Unclassified DSTI/DOC(2013)4
Organisation de Coopération et de Développement Économiques
Organisation for Economic Co-operation and Development 28-Jun-2013
___________________________________________________________________________________________
English - Or. English
DIRECTORATE FOR SCIENCE, TECHNOLOGY AND INDUSTRY
CAREERS OF DOCTORATE HOLDERS: ANALYSIS OF LABOUR MARKET AND MOBILITY
INDICATORS
STI Working Papers 2013/4
By Laudeline Auriol, Max Misu and Rebecca Freeman (OECD)
JT03342516
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DSTI/DOC(2013)4
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DSTI/DOC(2013)4
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INDICATORS
Laudeline Auriol, Max Misu and Rebecca Freeman, OECD
ABSTRACT
This paper presents an analysis of the labour market and mobility indicators generated by the second
large-scale data collection on Careers of Doctorate Holders (CDH), a joint project by the OECD, UNESCO
Institute for Statistics and Eurostat1
.
There has been a steady increase in the number of doctoral degrees being awarded across the OECD
and the evidence points to a sustained labour market premium of doctorate holders relative to other highly
qualified individuals in 2009, prior to the potential impact of the economic crisis. Women and younger
doctoral graduates, however, fare relatively worse in terms of employment rates, but these results are less
marked than for lower degree holders. While temporary positions are increasingly common in academics,
coinciding with the rise of postdoctoral positions, they are less so in business. Natural scientists and
engineers are those who are more likely to be engaged in research, while social scientists find more
opportunities in non-research occupations. Doctorate holders in the medical and health sciences are
generally better paid. Earnings are also typically higher in the business sector than in other sectors, but
there are exceptions. Job mobility patterns differ markedly across countries, with mobility being more
frequent among doctorates not working in research. Oftentimes mobility from the business sector to the
higher education sector is higher than the other way around. International mobility, as well as migration of
doctoral graduates, have kept increasing over the decade.
1. This analysis, carried out in 2011-12, has partly been financed by the European Commission (DG Research
and Innovation) as part of the FP7 Programme. It has greatly benefitted from comments by the participants
in the project and in the final conference held on 3 December 2012 in Brussels.
KNOWINNO
Making the most of knowledge

DSTI/DOC(2013)4
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LES CARRIÈRES DES TITULAIRES DE DOCTORAT : ANALYSE DES INDICATEURS DU
MARCHÉ DU TRAVAIL ET DE LA MOBILITÉ
Laudeline Auriol, Max Misu and Rebecca Freeman, OCDE
RÉSUMÉ
Ce document présente une analyse des indicateurs du marché de du travail et de la mobilité résultant
de la seconde collecte de données de grande échelle sur les Carrières des Titulaires de Doctorat (CTD), un
projet conjoint de l’OCDE, de l’lnstitut Statistique de l’UNESCO et d’Eurostat2
.
Le nombre de diplômes de doctorat décernés augmente de façon continue dans les pays de l’OCDE et
les résultats montrent un avantage des titulaires de doctorat sur le marché du travail comparé aux autres
individus qualifiés en 2009, ceci avant les éventuels effets de la crise économique. Les femmes et les plus
jeunes parmi les diplômés de doctorat, affichent néanmoins de moins bonnes performances en termes de
taux d’emplois, mais ces tendances sont moins marquées qu’à des niveaux de diplôme inférieurs. Tandis
que les postes à durée déterminée sont de plus en plus fréquents dans le secteur de l’enseignement
supérieur, ce qui coïncide avec l’augmentation des ‘postdocs’, les emplois temporaires sont moins courants
dans les entreprises. Les spécialistes des sciences exactes, naturelles et de l’ingénieur sont ceux qui sont le
plus susceptibles d’être embauchés dans la recherche tandis que les spécialistes des sciences sociales ont
davantage d’opportunités dans d’autres professions. Les titulaires de doctorat en médecine et autres
disciplines de santé sont en général les mieux rémunérés. Les revenus sont aussi plus élevés dans le secteur
des entreprises, mais il existe des exceptions. Les situations au regard de la mobilité d’un emploi à l’autre
varient entre pays mais la mobilité est davantage répandue parmi les diplômés de doctorat ne travaillant
pas dans la recherche. Les mouvements du secteur des entreprises vers celui de l’enseignement supérieur
sont plus fréquents que l’inverse. La mobilité internationale et les mouvements migratoires des titulaires de
doctorat ont continué d’augmenter au cours de la décennie.
2. Cette analyse, menée en 2011-12, a été en partie financée par la Commission Européenne (DG Recherche
et Innovation) dans le contexte du 7e
Programme Cadre. Elle a grandement bénéficié des commentaires des
participants au projet, ainsi qu’à la conférence finale qui s’est tenue le 3 décembre 2012 à Bruxelles.
KNOWINNO

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TABLE OF CONTENTS
ABSTRACT ....................................................................................................................................................3
RÉSUMÉ.........................................................................................................................................................4
SUMMARY OF KEY FINDINGS .................................................................................................................6
INDICATORS.................................................................................................................................................7
1. Introduction..............................................................................................................................................7
2. Increasing flow of new graduates and share of doctorates in the population ..........................................8
Demographic characteristics of doctorate holders ..................................................................................9
3. Labour market participation of doctorate holders..................................................................................12
Labour market characteristics ...............................................................................................................12
Overview of doctorate holders’ employment situation .........................................................................15
Earnings of doctorate holders................................................................................................................19
Doctorate holders’ perception of their professional positions...............................................................21
4. Career as a researcher and attractiveness of research careers................................................................22
Doctorate holders working as researchers.............................................................................................22
Attractiveness of research careers.........................................................................................................26
5. Patterns of job-to-job mobility...............................................................................................................34
6. International mobility and the competition for talent ............................................................................37
Mobility and emigration of doctorate holders to the United States.......................................................42
7. Conclusions............................................................................................................................................44
REFERENCES..............................................................................................................................................45
ANNEX 1......................................................................................................................................................46
Background................................................................................................................................................46
The 2010 CDH data collection ..................................................................................................................47
ANNEX 2......................................................................................................................................................51
Boxes
Box 1. The KNOWINNO CDH activities and micro data work...............................................................15
Box 2. Early career researchers in Japan ..................................................................................................34
Box 3. The Database on Immigrants in OECD Countries ........................................................................41

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INDICATORS
SUMMARY OF KEY FINDINGS
• The past decade has witnessed a steady increase in the number of doctoral degrees being awarded
across the OECD, rising by 38% from 154 000 new doctoral graduates in 2000 to 213 000 in 2009.
• There is only a weak association between the proportion of doctor graduates in the labour force and
a country’s R&D intensity. Switzerland has the highest workforce share of doctorates, close to 2.8
per cent.
• Despite the growing supply of doctorates, the available evidence points to a sustained -possibly
increasing- labour market premium on individuals holding doctoral qualifications, relative to other
highly qualified individuals.
• Although female and younger doctorate holders fare relatively worse in terms of employment rates
than their older and male counterparts, these biases are less marked for doctorate holders than for
individuals with lower levels of educational attainment.
• Employment rates for recent doctorates are also high, but figures for 2009 still do not account for the
wave of fiscal adjustment in many countries and its potential impact on the public funding of R&D.
Temporary positions are increasingly common in the academic sector, but less so in business.
• Although the higher education sector is the main sector of employment for doctorates, demand for
doctorates is apparent across other sectors of the economy. The take up of jobs outside higher
education is not necessarily, but often related to take-up of non research occupations.
• Natural scientists and engineers are more likely to be engaged in research while social scientists find
more opportunities in non-research occupations.
• Job mobility patterns differ markedly across countries but mobility is more frequent among
doctorates not working in research. Very few countries have more mobility from the higher
education to the business sector than vice versa.
• Earnings in agricultural sciences and humanities are below the overall median in most countries,
whereas doctorate holders in medical and health sciences tend to be paid above. Doctorates in the
business sector are typically better paid than in other sectors, but not in all countries.
• International mobility is a widespread and increasingly important phenomenon, although less
common than it might be assumed for researchers.
• Even when not in research, jobs are in most cases related to the subject of doctoral degrees and
doctoral graduates are satisfied with their employment situation. A wide range of monetary and non
pecuniary factors contribute to explaining the reported attractiveness of research careers. Satisfaction
levels on aspects other than pay are particularly high for individuals working in research.
KNOWINNO

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INDICATORS
Laudeline Auriol, Max Misu and Rebecca Freeman, OECD
1. Introduction
1. Doctoral graduates account for a relatively small proportion of the overall population but their
importance is widely appreciated (OECD, 2010). Having benefitted from highly specialised research
training and produced an original contribution to science, doctoral holders are expected to play a key role
in the knowledge economy as they stand in a position to drive forward advances in science, technology and
knowledge about society. Evidence on the careers of doctorate holders (CDH) and their contribution to
science, innovation and the economy is of high relevance not only to policy decision makers and
governments who finance the training of this group of individuals and support their integration in the
innovation system; but also to prospective employers in search of specific skills for their workforce; and
the individuals themselves who consider whether to pursue doctorate studies and proceed with research or
unrelated careers. Unfortunately, evidence is limited and sparse owing, for example, to the fact that
standard statistical sources are typically far too small to produce statistically robust results for this
population. The CDH-KNOWINNO project stems from a relatively recent initiative initiated by the
OECD, the UNESCO Institute for Statistics and Eurostat under which internationally co-ordinated data
collections have been carried out among participating countries to obtain statistically reliable data on
doctorate holders and their professional careers.
2. This paper3
provides an overview of the key statistical and analytical findings that draw on data
from the second international CDH data collection conducted in 2010, as well as some complementary
sources. This paper also analyses the labour market and employment patterns of doctorate holders. Then, it
looks at an important specificity of the doctoral job market, which is employment in research. Finally, it
studies another marked property of the doctoral population, which is their mobility both across sectors and
at the international level. Annex 1 provides further details on the description and methodology of the
project.
3. The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities.
The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem
and Israeli settlements in the West Bank under the terms of international law.
KNOWINNO

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2. Increasing flow of new graduates and share of doctorates in the population
3. The past decade has witnessed the continued development of higher education and research
systems worldwide. The expansion of higher education has resulted in not only a massive increase of
tertiary level graduates but also marked increases in the number of individuals with postgraduate degrees,
including doctorate awards In 2009, around 213 000 new doctoral graduates graduated from universities in
OECD countries, an increase of 38% with respect to the 154 000 who graduated in 2000.
Figure 1. Graduation rates at doctoral level 2000 and 2009
As a percentage of population in reference age cohort
Source: OECD (2011), Education at a Glance 2011: OECD Indicators and (2009) Education at a Glance 2009: OECD Indicators,
OECD, Paris.
4. Figure 1 shows that nearly 1.5 per cent of individuals in a comparable age cohort received a
doctoral degree, a figure as high as 3.4% in Switzerland and 3% in Sweden. The increasing presence of
women in doctoral programmes partly explains the overall increase in doctorates over the past decade.
Women were awarded on average almost half (46%) of OECD’s new doctorate degrees.
5. There are rather marked differences in the doctorate intensity of labour markets across countries.
The high performance of Switzerland in terms of doctoral training is reflected in estimates of the stock of
doctorate holders in the total population and labour force (Figure 2). Luxembourg shows a similar pattern
due the presence of a large share of foreign doctoral graduates. Germany, the United States and the United
Kingdom also display particularly high shares of doctoral graduates, with doctorates respectively
accounting for 1.4, 1.3 and 1.2 per cent of the total labour force.
41 48 62 53 44 48 45 43 48 42 43 46 52 45 46 43 53 40 38 46 49 41 51 44 30 27 49 48 46 51 63 52 44 44 41
0
1
2
3
4
Switzerland
Sweden
Portugal
Finland
Germany
SlovakRepublic
UnitedKingdom
Austria
Australia(2008)
Netherlands
Denmark
Norway
UnitedStates
Slovenia
OECD
France
NewZealand
Greece(2007)
CzechRepublic
Ireland
RussianFederation
Israel
Belgium
Italy(2007)
Canada(2008)
Korea
Japan
Spain
Hungary
Estonia
Poland
Iceland
Brazil
Turkey
Mexico
Chile
Indonesia
%
2000
Percentage of doctorates
awarded to women

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Figure 2. Doctorate holders per thousand total population and per thousand total labour force
2009
Notes:
*Data for the Netherlands and Spain refer to graduation years 1990 onwards. .For Spain, there is limited coverage of doctorate
holders for the years 2007 to 2009.
*Data for Chinese Taipei only include those PhD in National Profiles of Human Resources in Science and Technology
(NPHRST) made by STPI, NARL, Chinese Taipei (http://hrst.stpi.narl.org.tw/index.htm#noticeChinese).
Source: OECD, based on OECD/UNESCO Institute for Statistics/Eurostat data collection on careers of doctorate holders 2010;
OECD Main science and technology indicators, OECD Education attainment database, US Census Bureau (ACS, 2009).
Demographic characteristics of doctorate holders
6. Demographic characteristics of doctorate holders are influenced by the length of doctoral
education. In the best case, a full time student will get its doctoral degree after at least eight years of study
(five years for a master degree plus three years for a doctoral degree). In practice, this will however vary
according to different factors such as duration of programmes, available funding during education, field of
study and other personal and unpredicted factors. Some students will also interrupt their studies between a
bachelor and master degree or a master and doctoral degree to get a professional experience.
7. A look at the age at doctoral graduation (Figure 3) reveals wide variations across countries, as
well as across fields of doctorate. Median age at graduation is generally comprised between 30 and
35 years old. The lowest median age is found in Belgium (27 years old ) while the highest are in Croatia,
Israel, Romania, Bulgaria, Latvia and Malta (36 and above). In general, median age at doctoral graduation
is lowest in the natural sciences and engineering and highest in the humanities.

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Figure 3. Median age at graduation of recent doctorate recipients
2009
Notes:
*For Spain, there is limited coverage of doctorate holders for the years 2007 to 2009.
Source: OECD, based on OECD/UNESCO Institute for Statistics/Eurostat data collection on careers of doctorate holders 2010.
8. Consequently, doctoral graduates arrive late on the labour market and this is reflected in the
structure of the population (Figure 4). At least 30% of doctorate holders are less than 45 years old, but in
the majority of the countries at least 20% are also more than 55 years old and may retire in the next ten
years. In Bulgaria, Russia, Israel and Latvia, it is more than 35% who are above 55 years old. In Israel and
Russia, this situation is associated with graduation rates at the doctoral level that are lower than the OECD
average (Figure 1), while in Bulgaria, Israel and Latvia this is combined with a relatively high age at
graduation as mentioned above. In the medium and long term, these patterns could have a negative effect
on the research capabilities of these nations.
9. The continued progression in the number of doctoral degree awards could however offset this
situation. In particular, the already mentioned increased women participation has a clear impact on the age
structure of the population in all the economies for which data are available as may be seen from Figure 5.
There is still room for improvement on this aspect since women remain generally underrepresented in the
doctoral population. In 2009, they represented less than 40% of total doctorate holders in 13 out of the 22
countries shown in Figures 4 and 5.
26.0
28.0
30.0
32.0
34.0
36.0
38.0
40.0
42.0
44.0
46.0
48.0
50.0
52.0
Natural sciences Engineering Medical sciences Agricultural sciences Social sciences Humanities All fields

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Figure 4. Age distribution of total doctorate holders, 2009
As a percentage of total doctorate holders
Figure 5. Share of doctorate holders below 45 years old, 2009
Notes:
*Data for Sweden are for the total employed population only.
*Data for Turkey exclude foreign citizens.
*For the United States, data exclude doctorate holders who received their degree abroad and who received a doctorate in
humanities.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Below 45 years 45-54 years 55-64 years
0
10
20
30
40
50
60
70
80
90
100
Total Women
%

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3. Labour market participation of doctorate holders
10. Despite reported concerns in the media about excessive graduation rates and claims that
advanced skills are being underutilised, there is no evidence to suggest that the growth in the number of
individuals at the highest level of qualification has resulted in some form of excess supply that the labour
market struggles to accommodate. Most indicators point to a sustained, if not increasing premium on
doctorate skills, which is consistent with rising demand for individuals with such skills. A considerable
body of literature has shown that labour market outcomes improve with the level of education.
Comparisons between doctorate holders and other individuals at the upper end of the educational
attainment distribution should always take into account possible differences in competencies and skills that
are not attributable to the pursuit of additional education and the role these play in driving education and
future labour market participation decisions.
11. This section describes the labour market situation of doctorate holders, placing it in the broader
context of that for tertiary graduates where possible. It starts with a broad overview of principal labour
market indicators, and then addresses more specific questions on occupational status, contract duration and
type, sector of employment, and field of study. Earnings and earnings differentials between male and
female doctorate holders are also considered, followed by a review of doctorate holder’s perception
regarding the relation of their current job to their doctorate degree and an overview of their satisfaction
level by various criteria.
Labour market characteristics
12. Comparing CDH statistics with standard labour force statistics, individuals with doctoral degrees
had higher employment rates than the average higher education graduates in 2009, which confirms the
findings based on the first CDH data collection back in 2006, prior to the onset of the economic crisis. Due
to differences in survey design, comparisons across different databases are hazardous and therefore
differences may not be as large as implied by the chart. However, this result is replicated across countries
with surveys that cover the broad set of higher education graduates.
13. The average employment rate of male and female doctorate holders who obtained their degrees
after 1970 is 93%, compared to 81% for all tertiary graduates aged 25 to 69 within the economies for
which data are available (Figure 6). The high employment rate found among doctorate holders compared to
other tertiary graduates signals the attractiveness of this group as job market candidates and underscores
the employment premium linked to doctoral education, even in times of economic downturn. The
difference between the employment rate for doctoral graduates and that for all tertiary level graduates is
particularly marked for Croatia, Hungary, Poland and Turkey. In most economies, male employment rates
slightly exceed those of females. Exceptions are found for Chinese Taipei, Bulgaria, Finland and Malta.
For Malta, the female employment rate exceeds that for males by 6 percentage points. Economies in which
male employment rates most exceed those of females include Germany (8 percentage points), Hungary
(5 percentage points) and Israel (6 percentage points).

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Figure 6. Employment rate of doctorate holders by gender, 2009
Notes:
*Data for Belgium, Germany, Hungary, the Netherlands and Spain refer to graduation years 1990 onwards.
*For Belgium and Malta, data for the 65-69 age class include doctorate holders aged 70 years and above.
humanities.
Eurostat 2012; Education at a Glance 2012.
14. The position of recent doctoral graduates may be less favourable than for those who have
received their doctorate a longer time ago. Unemployment rates of doctoral graduates actually vary both
throughout their career paths and depending on field of study. Indeed, as highlighted in Figure 7,
unemployment rates among total doctoral graduates do not exceed 2% when all time periods are
considered but are typically higher in the first five years after graduation. Exceptions are found for Chinese
Taipei, Croatia, Germany, Latvia and Lithuania. This may be the sign of a higher demand for new doctoral
graduates in these economies. Data through 2008 for the United States indicate that the unemployment rate
is unaffected by the amount of time that has passed since completion of one’s doctorate. Annex table 1 also
shows that there is a higher share of unemployed women in the population of doctorate holders that men in
13 out of the 19 economies for which data are available as well as a higher share of inactive women that
men in 15 economies. The average unemployment rate for total graduates at the doctorate level is roughly
three percentage points lower than that for other tertiary level graduates aged 25 to 64 for the economies
for which data are available, confirming the already well established fact that employment prospects
improve with the level of degree.
0
20
40
60
80
100
Male Female Male and female ISCED level 5 and 6 graduates aged 25-69
%

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Figure 7. Unemployment rates of doctorate holders over career path, 2009
Notes:
*Data for Chinese Taipei only include those PhD in National Profiles of Human Resources in Science and Technology (NPHRST)
made by STPI, NARL, Chinese Taipei (http://hrst.stpi.narl.org.tw/index.htm#noticeChinese).
humanities.
Eurostat 2012; Education at a Glance 2012.
15. A noticeable exception to this is the case of France. While this country does not participate in the
CDH project, there exist in France first destination surveys allowing comparison of the labour market
outcome of doctoral graduates with that of other degree holders three years after graduation4
. The data
show that, in contrast to the pattern in the other countries, unemployment rates of French doctoral
graduates three years after receipt of their degree were higher than for graduates at lower level of education
during the 2000s (see Harfi and Auriol 2010). The latest survey however shows that this is not the case
anymore in 2010 although graduates from engineering schools fare better on the labour market (Calmand
and Vera 2011). Indeed, it would seem that the French dual education system has an impact on the labour
market outcome of those graduated from universities compared to those from the so-called ‘grandes
écoles’ (higher schools). Still, the 2010 unemployment rate of French doctoral graduates three years after
the receipt of their doctorate remains high (at 7%) as compared to that of the other countries as shown from
the results of the KNOWINNO-CDH micro data work (Box 1).
4. The so-called ‘Enquêtes Générations’ conducted in France by the CEREQ (http://www.cereq.fr/).
5.2 9.0 3.6 4.0 3.8 3.4 2.0 3.1 1.5 4.9 3.5 2.9 8.1 5.6 7.7 3.7 4.7 5.5
0.0
1.0
2.0
3.0
4.0
5.0
Graduates at doctorate level for five years or less Graduates at doctorate level for more than 5 years Total graduates at doctorate level
Unemploymentrate for ISCEDlevel
5 and6 graduatesaged25-64
%

DSTI/DOC(2013)4
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16. How do employment prospects vary across fields of doctoral degree? Annex table 2 shows that
the unemployment rate is lowest among doctorates having completed their degree in engineering and social
sciences, followed by medical sciences. In the natural sciences, unemployment rates remain above the
overall unemployment rate of doctorate holders in a majority of countries. Doctorate holders in humanities
exhibit the highest unemployment rates compared to other fields of study. Nonetheless, differences in
unemployment rates among doctorates from all fields of study remain minor. One exception is the
unemployment rate for doctorate holders who studied agricultural sciences in Israel. The unemployment
rate for this particular group is 9.9 percent, compared to an average of 1.4 percent for all other economies
for which there are data.
Box 1. The KNOWINNO CDH activities and micro data work
Over the 2011-2012 biennium, the OECD activity on CDH has been partly sponsored by the
European Union’s Seventh Framework Programme as part of the broad OECD KNOWINNO project.
This supported the development of the CDH database by the OECD and has helped produce a set of
internationally-comparable indicators based on the results from the 2010 CDH data collection. In order
to address a number of policy and analytical questions, four key areas of work were identified for
detailed investigation: 1) early career of doctorate holders; 2) job-to-job mobility; 3) international mobility
and 4) competences and skills of doctorate holders. Each topic was led by a participant organisation:
NISTEP/Japan for early careers, DGEEC/Portugal for job-to-job mobility, CSIC/Spain for international
mobility and ECOOM/University of Ghent/Belgium for competences and skills.
In order to extend the number of countries for which comparisons could be carried out, a special
effort was made to define common populations of doctorate holders among surveys of university
graduates available for France, Japan and the United Kingdom, and subsamples within CDH surveys
carried out in other countries. Access to and use of micro data has been instrumental in facilitating
these comparisons that were carried out under the “early career module” of the project. Using a data
coding guide provided by the OECD, ten volunteer countries harmonised their micro data sets in order
to implement tabulations and econometric analyses using a common programming code developed by
CSIC and NISTEP. The OECD secretariat also carried out for demonstration purposes a comparative
analysis of micro data on doctorate holders and individuals holding other postgraduate qualifications for
the United States and the United Kingdom.
Overview of doctorate holders’ employment situation
17. Despite generally low unemployment rates, the prospects for doctorate holders to obtain
indefinite contracts are more uncertain than for all employees in more than half of the economies for which
data are available. Indeed, this is the case for Belgium, Germany, the Netherlands, Portugal, Latvia,
Lithuania, Malta and Slovenia. Figure 8 shows that the percentage point difference between the share of
doctorate holders and all employees under temporary contracts is particularly marked for Portugal (11%),
Latvia (19%) and Belgium (13%).
18. One important condition that young doctoral graduates have to meet when choosing a research
career is the increasing necessity to occupy at least one, if not several postdoctoral positions. These
‘postdocs’, which are short-term temporary positions, are in principle aimed at consolidating or improving
the research training of new doctorate recipients and prepare them to a research career. They can be the
first step in the pipeline leading to a tenured research position at a university lab. The length of these
postdoc positions, as well as their frequency and recurrence have however generated concerns with respect
to their potential deterring effect on the attractiveness of research careers for a population that has already
gone through long academic training and reaches an age at which they legitimately aspire to a more
secured position. In some cases, postdoc positions have even been considered as a way to employ cheap
research manpower (see for example Science, 2012).

DSTI/DOC(2013)4
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19. Unfortunately, it proves extremely difficult to measure the ‘postdoc’ phenomenon. The diversity
of contracts both across institutions and across countries, under which postdocs are administered, makes it
impossible to come up with a definition that can be operational in a statistical survey. The CDH project
however attempts to look at the early career stage of doctoral graduates and finds a higher prevalence of
temporary contracts among younger doctorate holders, which may coincide to some extent with the
existence of postdoctoral positions.
20. Indeed, graduates at the doctorate level for five years or less have a higher share of temporary
contracts than those who received their degree more than five years ago in all economies except Malta.
Nonetheless, the share of temporary contracts remains above 12% in nine out of 16 economies for
doctorates who received their degrees more than 5 years ago. The share of doctorates under temporary
contracts less than five years after receipt of their degree is particularly high in Portugal (57%), Germany
(45%) and the Netherlands (41%). It is above 23% for 10 out of the 16 economies. It is interesting to note
as well that the incidence of temporary employment differs across fields of study. Cross-country averages
reveal that nearly 20% of doctorate holders are on a temporary contract in Humanities, followed by nearly
16% in Natural and Social Sciences and 15% in Medical sciences.
Figure 8. Doctorate holders on temporary contracts over career path, 2009
As a percentage of employed doctorate holders
Notes:
*For the Netherlands, data refer to employees only.
*For the Russian Federation, data relate only to those doctoral graduates employed as researchers and teachers.
*For Spain, doctorate holders with "unspecified contracts" refer to self-employed.
Eurostat 2012.
22.0 14.5 18.2 8.2 16.4 25.4 11.6 4.3 8.5 2.2 4.9 4.7 10.7 1.0
0
10
20
30
40
50
60
70
Graduates at doctorate level for five years or less Graduates at doctorate level for more than 5 years Total graduates at doctorate level
Percentage of allemployeesunder
temporarycontract
%

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21. Compared to the other countries, Germany and Sweden, while both exhibiting a relatively high
share of employees (81% and 82%, respectively), have a higher proportion of their doctoral population
which is self-employed. Else, all economies for which data are available exhibit a high share of employees
among its doctoral population. Indeed, this labour force group accounts for 90% or more of total doctorate
holders in 19 out of 21 economies.5
22. The share of part-time contracts ranges between 1% and 9% for most economies. Exceptions are
Lithuania, Latvia, Germany and Israel, for which the share of doctoral graduates with part time contracts is
higher, i.e. 10% to 16%. The share of doctoral graduates working part time is less than or equal to that for
ISCED level 5 & 6 graduates for only slightly under half of the economies for which data are available. In
Latvia and Lithuania, the amount of doctoral graduates with part time contracts surpasses that of tertiary
graduates by 8 percentage points and 6 percentage points, respectively.
Figure 9. Percentage of doctorate holders working part time, by gender, 2009
Notes:
*For Slovenia, "part-time" refers to doctorate holders working less than 30 hours per week.
Eurostat 2012.
5. Belgium, Bulgaria, Chinese Taipei, Croatia, Denmark, Finland, Hungary, Israel, Latvia, Lithuania, Malta,
the Netherlands, Poland, Portugal, Russian Federation, Slovenia, Spain, and Turkey.
18.2 20.1 40.5 6.3 4.2 17.5 4.5 20.0 9.6 8.5 1.1 3.4 4.4 5.7 2.3 0.8
0
5
10
15
20
25
30
Women Men Total graduates at doctoral level
Percentage of male andfemale ISCEDlevel5
and6 graduatesaged25-64 workingpart time
%

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23. Not surprisingly, gender dynamics reveal that the share of part time contracts is higher among
women doctoral graduates in all but 5 economies: Malta, Turkey, Portugal, Chinese Taipei and Romania
(Figure 9). The difference is particularly marked in Germany, Israel, Belgium, the United States, and the
Netherlands. This situation to some extent differs from that for all tertiary level graduates, where the
prevalence of part time employees among females exceeds that among males in all cases.
24. Over 90% of doctorate holders are employed as either professionals or managers (Figure 10).
Yet, CDH data suggests that roughly 6% of doctorate holders in Norway, 8% in the Netherlands and
between 3% and 4% in Latvia and Lithuania are employed in other occupations, indicating possible over
qualification of some doctorate holders in these economies. In the Netherlands and Lithuania doctorate
holders employed in occupations other than managers and professionals tend to have degrees in
Humanities and/or Social sciences while those in Norway and Latvia tend to have degrees in Engineering
and technology. Economies that report a high share of doctorate holders in unspecified occupations include
Poland (11%) and Belgium (9%).
Figure 10. Employed doctorate holders, by main occupation, 2009
Notes:
*Data for Belgium, Hungary, the Netherlands and Spain refer to graduation years 1990 onwards.
0
20
40
60
80
100
Professionals Managers Other ISCO classes Unspecified%

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25. What are the major sectors of employment for doctoral graduates? CDH data indicate that the
education sector is indeed the main institutional sector6
of employment for individuals with a doctorate
degree, accounting for a rather variable proportion of doctorates, from around one-third of the total in the
Netherlands, Denmark and Belgium, to nearly four-fifths in Poland and Portugal. Government and
business sectors alternate as the second most important destination. In Belgium, Denmark and the United
States, at least one out of three employed doctorate holders works in the business sector (Figure 11).
Figure 11. Doctorate holders, by sector of employment, 2009
Notes:
*Data for the United States exclude doctorate holders who received degree abroad and who received a doctorate in humanities.
Earnings of doctorate holders
26. The level of earnings may be determinant in the choice of a particular career. Earning
differentials between sectors of employment and between countries may also influence preferences for
specific occupations or locations. Earnings of doctorate holders have been collected for 18 countries as part
of the CDH project. Further down this paper, earning differentials are analysed according to several
variables, but the first striking result emerging from the levels of median gross annual earnings converted
in purchasing power parities (PPPs) is the wide variation existing across countries, ranging from 18 306
6. Based on the sectoral classification for R&D performing units in the OECD Frascati Manual (OECD,
2002), which includes Higher Education, Business Enterprise, Government and Other Private non-Profit.
0
10
20
30
40
50
60
70
80
90
100
Higher education Business enterprise Other education%

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US dollar PPPs in the Russian Federation to 93 000 in the United States, i.e. a factor of 1 to 57
. Doctorate
holders are the lowest paid in Central and Eastern European countries (with the exception of Slovenia),
while the highest median gross annual earnings are found in the United States and the Netherlands
(Figure 12). Although the target population was not the same, a large variation in the remuneration of
researchers across countries at the global level, was also noted in a study conducted by the European
Commission in 2007 (EC, 2007).
Figure 12. Doctorate holders, by sector of employment, 2009
Notes:
*Data for Hungary, the Netherlands and Spain refer to graduation years 1990 onwards.
27. Figure 12 also highlights differences in male and female median gross annual earnings. The
percentage difference is calculated as the difference between male and female median gross annual
earnings, divided by male median gross annual earnings. This figure brings to the forefront that male
doctoral graduates have higher earnings than their female counterparts for all economies for which data are
available. However, this indicator does not allow comparing earnings at the same position level. Therefore,
in addition to possible inequalities, the differences may be explained by different factors such as a younger
average age of women and consequently a lower seniority, as well as the fact that women are more
frequently working part-time. For certain economies, such as Latvia, the Netherlands, Lithuania and the
United States the difference is close to or above 25% at the total economy level.
7. The relative low level of median gross annual earnings in the Russian Federation may be partly explained
by an under coverage of doctorate holders working in the business enterprise sector.
0.0
4.0
8.0
12.0
16.0
20.0
24.0
28.0
32.0
36.0
40.0
0
10000
20000
30000
40000
50000
60000
70000
80000
90000
100000
Median gross annual earnings in $ PPPs (left axis) Percentage difference between men and women (right axis) %

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28. At the sectoral level, the difference between male and female median gross annual earnings is
most marked in the business enterprise and government sectors, as shown in figure 13. Indeed, the
differential exceeds 20% for the Netherlands Turkey, Bulgaria, Hungary, Slovenia, Malta and Portugal in
the business enterprise sector, and Latvia, the Netherlands, Lithuania, Russian Federation and Malta in the
government sector.
Figure 13. Difference in median gross annual earnings of male and female doctorate holders, 2009
As a percentage of gross annual earnings of male doctorate holders
Notes:
*All sectors include the business enterprise, government, higher education, other education and private non-profit sectors.
Doctorate holders’ perception of their professional positions
29. How do jobs of doctorate holders relate to their degree? This question is fundamental given the
time investment and heavy research training involved in obtaining a doctoral degree.This section relies
upon qualitative CDH data on perception of employed doctorate holders to address this issue.
30. The share of doctorates employed in jobs that are related to their doctoral degree varies greatly
across economies (figure 14). Whereas CDH data for Portugal, the Russian Federation, Croatia, Romania,
Bulgaria, Hungary and Turkey indicate that over 95% of doctorate holders are employed in jobs that are
related or partly related to their degree, this is not the case for Belgium, Spain, the Netherlands and Latvia.
Indeed, for this latter group of economies, between 15% and 30% of doctoral graduates perceive that their
job is not related to their field of specialisation. Individuals, when progressing into their career, may shift
towards a broader range of topics, functions and to administrative or managerial tasks. Indeed, the data
0
5
10
15
20
25
30
35
40
45
Business enterprise sector Government sector Higher education sector Total sectors%

DSTI/DOC(2013)4
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show that the share of doctorates employed in jobs that are related to their degrees is higher for the younger
cohorts in nearly half of the economies shown in Figure 14.
Figure 14. Doctorate holders whose jobs are not related to their field of study over career path, 2009
As a percentage of employed doctorate holders in all relation criteria
Notes:
*For Belgium, Malta and the Russian Federation, data for the 65-69 age class include doctorate holders aged 70 years and above.
*For the United States, data exclude doctorate holders who received their degree abroad and who received a doctorate in humanities.
4. Career as a researcher and attractiveness of research careers
Doctorate holders working as researchers
31. The structure of labour markets and the organisation of research systems have undergone
significant changes which have contributed to traditional linear research career paths giving way to a more
diverse range of career experiences. In the run-up to the economic and financial crisis, “job hopping”
among the highly skilled had become more common and tenured positions in the academic sector declined
in importance relative to temporary ones. With the high growth in new doctoral awards, some observers
have wondered whether innovation systems are mature enough to create research positions that fully utilise
the skills of the doctorate population. Considering these questions requires a better understanding of
differences between doctorates employed as researchers and those who are not, evaluating for example to
what extent occupations are related to the doctoral studies, satisfaction, pay and their evolution in the short
to longer term. Across countries for which data are available, at least 50% of doctorate holders are working
in research. In Portugal and Poland, more than 80% of doctorate holders work as researchers, whereas the
shares are lower (close to 60%) in Belgium, the Netherlands and the United States (Figure 15).

DSTI/DOC(2013)4
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32. Doctorate holders in the natural sciences and engineering are the most frequently employed as
researchers, except in Portugal and Poland where there are no obvious differences across fields and the
share of researchers is high. By contrast, large deviations across fields of study exist in countries where a
non-research career is more common.
Figure 4. Figure 15. Percentage of doctorate holders working as researchers, 2009
Notes:
*For Norway, data for researchers in the business sector only cover R&D institutes and not enterprises.
Figure 16. Percentage of doctorate holders working as researchers by field of study, 2009
Notes:
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Researchers Non-Researchers Unspecified
0%
20%
40%
60%
80%
100%
Natural sciences Engineering and Technology Medical and health sciences Agricultural sciences Social sciences Humanities

DSTI/DOC(2013)4
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33. How is advanced research training related to the demand for researchers? Figure 17 shows that
the main sector of employment for doctorate holders working as researchers is the higher education in most
countries. In Belgium, the United States and the Netherlands, the business enterprise sector also employs a
large share of doctorate holders as researchers. Since doctorate holders are traditionally keen to pursue an
academic research career, such a large share of doctorate holders employed as researchers in the business
enterprise sector may reflect a greater demand for highly skilled personnel outside of academia and/or less
available opportunities in the higher education sector. Since the business enterprise sector has been the
main R&D performer in the OECD area in terms of the number of research personnel and R&D
expenditure (OECD 2011b), how well countries utilise the skills and knowledge of advanced degree
holders in this sector may have some impacts on the transfer of new academic knowledge to the private
sector and on enhancing university-industry ties for further innovation.
Figure 17. Sector of employment of doctorate holders working as researchers, 2009
Notes;
34. The previous CDH data collection already found that the business enterprise sector primarily
employs doctorate holders who studied natural sciences or engineering. (Auriol, 2010) This is also the
case for doctorate holders working as researchers. Figure 18 shows that the business enterprise sector also
engage natural scientists and engineers as researchers, especially in countries such as Belgium, the
Netherlands and the United States. In particular, approximately half of doctoral graduates in engineering
and technology working as researchers are employed in the business enterprise sector in these countries.
These countries are, to some extent, also able to empower the business enterprise sector with the supply of
doctoral graduates specialised in social sciences and humanities; however, the supply from these two fields
remain around 10% or less and quite low as compared to other graduates in S&E fields (Figure 19). It is
also interesting to see that a comparatively high percentage of doctoral graduates are employed as
researchers in the private non-profit sector in these countries. While natural scientists and engineers are
generally expected to be in higher demand in the business enterprise sector, the supply of these two types
of specialists to the business enterprise sector is quite minimal in countries like Poland, Portugal and
Turkey.
0%
20%
40%
60%
80%
100%
Private non-profit Business Government Higher education

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Figure 18. Employment sector of doctorate holders with doctoral education in S&E fields working as
researchers, 2009
Notes:
*For Belgium, Malta and the Russian Federation, data for the 65-69 age class include doctorate holders aged 70 years and
above.
0%
20%
40%
60%
80%
100%
Private non-profit Higher education Government BusinessNatural sciences
0%
20%
40%
60%
80%
100%
Private non-profit Higher education Government BusinessEngineering and Technology
0%
20%
40%
60%
80%
100%
Private non-profit Higher education Government BusinessMedical and health sciences
0%
20%
40%
60%
80%
100%
Private non-profit Higher education Government BusinessAgricultural sciences

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Figure 19. Employment sector of doctorate holders with doctoral education in Social sciences and
Humanities working as researchers, 2009
Notes:
Attractiveness of research careers
35. It is of common interest in both OECD member and non-member countries to attract the brightest
and most innovative researchers by promoting research careers. In reality, some countries have been facing
a declining interest for careers in science and technology among younger generations. The report by the
President’s Council of Advisors on Science and Technology (OSTP, 2004) in the United States identified
some of the crucial factors for this declining interest being related to the lengthy training periods in early
career such as the long duration for obtaining an advanced degree and the additional unstable postdoctoral
training before securing a tenured position. Such situations may lead to lowering researchers’ lifetime
earnings expectations and finding a balance between family decisions and research career may be difficult
especially for female researchers. Similar situations also exist in other OECD countries (OECD, 2008).
0%
20%
40%
60%
80%
100%
Private non-profit Higher education Government BusinessSocial sciences
0%
20%
40%
60%
80%
100%
Private non-profit Higher education Government BusinessHumanities

DSTI/DOC(2013)4
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36. How are careers of doctoral researchers valued on the labour market with respect to the return on
investment for their long academic training? The available data show that gross annual earnings of
doctorate holders employed as researchers exceed those of non-researchers in several countries
(Figure 20). Among doctorate holders employed in the higher education sector, the earnings of those
working as researchers exceed those of their non-researcher counterparts in all countries for which data is
available.
Figure 20. Difference in median gross annual earnings of doctorate holders working as researchers
and as non-researchers, 2009
Notes:
37. The median gross annual earnings of doctorate holders in research positions may however vary
depending on the sector of employment and/or the specialized skills and knowledge acquired during
doctoral studies.
38. Figure 21 shows that doctorate holders working as researchers are better paid in the business
sector than in the higher education sector in most countries. As such, working as researcher in the business
enterprise sector may be viewed as an attractive career option for doctorate holders; in most countries.
However, a large share of doctorate holders actually favours research careers in the higher education sector
over the business enterprise sector. For example, in Turkey and Hungary, the median earnings for those in
the business sector are over 50% above the overall median for all doctorate holders working as researchers,
but the business sector does not seem to take advantage of doctorate holders’ employment in these two
countries.
n.a.
n.a. n.a.
-40
-30
-20
-10
0
10
20
30
40
Business enterprise sector Government sector Higher education sector All sectors
Researchers are better paid
Non-researchers are better p
Researchers are better paid
Non-researchers are better paid

DSTI/DOC(2013)4
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Figure 21. Percentage difference in median gross annual earnings of doctorate holders working as
researchers by main sector of employment as compared to total doctorate holders working as
researchers, 2009
Notes:
39. In terms of fields of doctoral study, variations in the median gross annual earnings can be
observed in several countries (see Figure 22). These variations may reflect the labour market demands for
specialized skills and knowledge. In particular, the median earnings of doctoral graduates specialized in
agricultural sciences and humanities are below the overall median in most countries, whereas those
specialized in medical and health sciences are generally paid above the average in several countries.
Figure 22. Percentage difference in median gross annual earnings of doctorate holders working as
researchers by field of doctoral study as compared to total doctorate holders working as researchers,
2009
Notes:
-50%
0%
50%
100%
Business Government Higher education
-50%
0%
50%
100%
Naturalsciences Engineering and Technology Medical and health sciences Agriculturalsciences Social sciences Humanities

DSTI/DOC(2013)4
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40. Yet, earnings are not the only factor determining the attractiveness of research career. The CDH
model questionnaire also asks doctorate holders to rate their satisfaction with their principal job in terms of
(a) benefits, (b) contribution to society, (c) degree of independence, (d) intellectual challenge, (e) job
security, (f) location, (g) opportunities for advancement, (h) level of responsibility, (i) salary, (j) social
status, (k) working conditions, and (l) overall satisfaction. By assigning weighting values of “+2”,”+1”,”-
1”, and ”-2” to four satisfaction levels of “very satisfied”, “somewhat satisfied”, “somewhat dissatisfied”,
and “very dissatisfied”, respectively, the average satisfaction levels of doctorate holders in all countries for
which data are available can be illustrated in Figure 23. It shows that doctorate holders working as
researchers are overall satisfied at least as much as those working as non-researchers in most categories. In
particular, satisfaction levels with two categories namely (d) intellectual challenges and (g) opportunities
for advancement are remarkably higher for those working as researchers than for their counterparts. Other
categories such as (c) degree of independence and (h) level of responsibility also show moderately higher
satisfaction levels for those working as researchers. These elements may therefore be interpreted as making
a research career attractive. Although large variations can be observed across countries, the county level
data reveal similar overall patterns everywhere (Figures 24 to 26).
41. Among all categories, satisfaction levels with salary and benefits are the lowest in most countries,
with no clear difference between those working as researchers and non-researchers. Since the need for
introducing incentive earning schemes for excellent researchers has been recognized (Institut de France,
2008), improving satisfaction levels of researchers with salary and benefits as much as those of other
categories may contribute to raising the attractiveness of research career.
Figure 23. Average satisfaction levels of doctorate holders with principal job across countries, 2009
Note: The average satisfaction levels of doctorate holders are calculated by assigning values of “+2”,”+1”,”-1” and ”-2” to four
satisfaction levels of “very satisfied”, “somewhat satisfied”, “somewhat dissatisfied” and “very dissatisfied”, respectively, Upper and
lower ends of error bars correspond to the maximum and minimum satisfaction levels among all countries for which data are
availabe.
0
0.5
1
1.5
Researcher Non-researcher

DSTI/DOC(2013)4
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42. The above results were studied for the research career as a whole. However, since policy
implications surrounding the career advancement in research are quite different depending on career
stages, more careful investigations are necessary. One of the frequently asked questions is how long it
takes to get a stable research position after doctoral training. This cannot be exactly answered with the
present CDH data. Although satisfaction with job security is found to be high for doctorate holders in
research and almost similar to those working as non-researchers (Figure 25), one may also expect that
young researchers in early career may perceive the situation differently. The same holds true for young
female researchers, at the time when some of the major life events like marriage and child care coincide
with their career transition from the post-doctoral training phase to the independent researcher stages (see
Box 2 as an example).
43. Under the KNOWINNO-CDH micro data work, additional tabulations and analyses will shed
some light and provide a clearer understanding on the career advancement in research and also the early
career stage of doctoral graduates by integrating the results of early destination surveys existing in some
large non covered countries.

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Figure 24. Satisfaction levels of doctorate holders with principal job by selected criteria I, 2009
Notes:
* Satisfaction levels of doctorate holders are calculated by assigning values of “+2”,”+1”,”-1”, and ”-2” to four satisfaction levels of
“very satisfied”, “somewhat satisfied”, “somewhat dissatisfied”, and “very dissatisfied”, respectively.
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
Researcher Non-researcherSatisfaction with location
Satisfactionlevel
DissatisfiedSatisfied
n.a.
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
Researcher Non-researcherSatisfaction with degree of independence
Satisfactionlevel
n.a.
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
Researcher Non-researcherSatisfaction with intellectual challenge
Satisfactionlevel
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
Researcher Non-researcherSatisfaction with level of responsibility
Satisfactionlevel

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Figure 25. Satisfaction levels of doctorate holders with principal job by selected criteria II, 2009
Notes:
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
Researcher Non-researcherSatisfaction with contribution to society
Satisfactionlevel
n.a.
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
Researcher Non-researcherSatisfaction with job security
Satisfactionlevel
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
Researcher Non-researcherSatisfaction with social status
Satisfactionlevel
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
Researcher Non-researcherSatisfaction with working conditions
Satisfactionlevel

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Figure 26. Satisfaction levels of doctorate holders with principal job by selected criteria III, 2009
Notes:
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
Researcher Non-researcherSatisfaction with opportunities for advancement
Satisfactionlevel
n.a.
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
Researcher Non-researcherSatisfaction with benefits
Satisfactionlevel
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
Researcher Non-researcherSatisfaction with salary
Satisfactionlevel

DSTI/DOC(2013)4
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Box 2. Early career researchers in Japan
At the expert group meeting on Careers of Doctorate Holders (CDH) held in Lisbon in January 2006, a possible
international definition of post-doctorates for statistical purposes was discussed. However, it was felt difficult to
come up with an agreed definition because of the diversity of status encountered among post-doctorates, not only
across countries but also across institutions. The National Institute of Science and Technology Policy (NISTEP) in
Japan has been conducting a series of surveys by using the following definition of postdoctoral researchers since
FY 2005.
“Those who, after completed doctorates (including withdrawals upon obtaining required credits), (1) engage in
research activities at a research organization such as a university, not as a professor, an associate professor, an
assistant professor, or the like, or (2) engage in research activities at a research organization such as an
independent administrative agency, assigned to the position for a fixed term and are not in a position such as a
leader or a senior researcher of their research group.”
According to the latest survey results (NISTEP, 2011), as of November 2009, the total number of postdoctoral
researchers employed in universities and colleges and in public research institutes was 15,220. The breakdown by
research field shows the field of natural sciences had the largest percentage at 31%, followed by engineering at
28%. Among all postdoctoral researchers, the proportions of female and foreign nationals accounted for 25% and
23% (the share by nationality was: China 38%, South Korea 12%, India 7%, France 4%, Bangladesh 3%),
respectively. Their career status as of April 2010 (12% of unknown status) revealed that 74% continued
postdoctoral training, 8% took a university faculty position, 4% found other R&D positions including private sector,
and 2% moved out of R&D labour market after finishing their postdoctoral training.
Referring to the sampling survey carried out in FY2007 (NISTEP, 2008), although the average length of
postdoctoral contract was approximately 3 years, individuals with 6 years or longer experience as postdoctoral
researchers accounted for 16% of the total. In particular, it was in the field of natural sciences that the percentage
of individuals who continued as postdoctoral researchers for 6 years or longer was the highest (25%), followed by
agricultural sciences (18%). The detailed analyses based on the latest survey (NISTEP, 2011) can also highlight
that for those who worked as postdoctoral researchers as of November 2009, obtaining tenured R&D positions
immediately after postdoctoral training took approximately 3-4 years since the completion of doctoral courses for an
assistant professor or lecturer position, 6-7 years for an associate professor position, 8-9 years for a professor
position, whereas it took only 3-4 years for those who found a tenured R&D positions in the private sector. The
longer the temporary employment, the harder it becomes for young researchers to balance between family matters
and research career. Indeed, more than a half of those who wished to take a parental leave were not able to take
one, because of the constraints on the contract, a fear of losing income and positions, etc. Child care issues are not
the only limited factors. Among postdoctoral researchers, 52% of married female postdoctoral researchers are
married to researchers, whereas only 12% of their male counterparts are married to researchers. With the high
percentage of female researchers married to male researchers, there are issues linked to the dual-career of these
married couples that also put constraints on job-seeking activities, especially for female postdoctoral researchers.
Among female postdoctoral researchers with spouses, 44% of respondents said that they would “Limit range of
applications based on circumstances of spouse’s job” (compared to 11% of their married male counterparts); only
5% replied that their “Spouse adjusts job-searching activities like occupation and location in line with your(their)
future career choices” (compared to 41% among males); and 26% said they would be forced to “Unavoidably live
separately from spouse” (compared to 12% among males).
5. Patterns of job-to-job mobility
44. Knowledge exchange and transfer play an important role in the advancement of research and the
dissemination of innovations. One vehicle for knowledge diffusion is the mobility of people between
research institutions and different sectors of the economy. CDH data can be used to document the mobility
of individuals with doctorate degrees, a priority question from the perspective of sponsors of PhD
programmes whose objective is to maximise the social and economic benefit of their public investment in
training researchers. Voluntary mobility can be expected to improve the quality of the match between
doctorate holder and employee and promote knowledge transfer. However, mobility may also be the
outcome of unintended separations and represent the breakdown of a stable match, for example as a result
of a business closure, or reflect career instability and low attachment.

DSTI/DOC(2013)4
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45. The data are available for 15 countries and give information on whether doctorate holders have
changed jobs over the previous ten years, as well as on their current and previous positions. It is therefore
possible to compare mobility of those who are currently employed as researchers with those who are not,
as well as the origin and destination sectors of mobility.
46. The data show an average rate of mobility, as measured by the percentage of those doctorate
holders who have changed jobs over the previous ten years in total employment, of 26.9%, ranging from
12.8% in Romania to 76.4% in Denmark. Mobility rates did not reach 20% of the total employed doctorate
holders the Russian Federation (data are for researchers and teachers only), Bulgaria, Belgium and
Romania. By contrast, in addition to Denmark, mobility appears to be particular high in Iceland (62.0%),
Germany (57.3%), the Netherlands (50.6%) and in Israel (45.7%). In the United States, mobility is
measured over the previous two years only but reaches an average rate of 25.7%, comparable with that of
the other countries for which it is measured over a ten year period, probably indicating a relatively higher
rate of mobility over the decade.
47. Data for those doctorate holders having graduated from 1990 onwards, as well as for the total
population, are available for two countries – i.e. Latvia and the United States – and reveal rates of mobility
that are markedly higher for the most recently graduated population as compared to the total population. In
Latvia, the mobility rate of those having graduated in 1990 and subsequent years reaches 30.9% against
25.4% for the whole population. In the United States the corresponding percentages are 33.2% and 25.7%.
The relative higher rates of mobility found in Denmark and the Netherlands may partially (but not totally)
be explained by this phenomenon since the population covered in those countries are graduates from 1990
onwards. However mobility rates in Belgium and in Spain are also calculated over those doctoral
graduates from 1990 and subsequent years and remain relatively low.
48. Although the majority of doctorate holders work as researchers, the average mobility rate is
higher for those who are not researchers (32.8%) compared to researchers (23.9%), (Figure 27). The only
exception to this is the United States where the rate of mobility is slightly higher for those working as
researchers (25.9%) compared to non-researchers (25.4%). There may be different explanations for the
fact that non researchers are more mobile than researchers: for example, a higher turnover in business
enterprises where non-researchers are primarily employed or better opportunities for career advancement
out of research positions. Another possible explanation may be that doctorate holders hop from one job to
another until they can secure their position in a research post, especially at the start of the career.
49. Mobility patterns of doctorate holders vary greatly from one country to another (see annex
table 3), but a number of similar patterns may be observed across countries. Unsurprisingly, intra-sectoral
mobility represents a large share -- at least 45% in most countries for which data are available -- of total
mobility of doctorate holders. In the case of Belgium, it reaches 68.2% of researcher mobility (42.9% in
the higher education sector only). For researchers, the higher education sector is the most prominent both
in terms of origin and destination sector. In the case of doctoral graduates not working as researchers, it is
the business sector which appears to be most prominent both in terms of origin and destination sector.8
In
Spain however a large share of the mobility of non researchers ends up in the government sector (this is
probably due to the importance of the health sector which is classified within the government sector). The
patterns of mobility are also somewhat different in the United States: mobility destinations are more or less
equally split between the business enterprise and higher education sectors both for researchers and non-
researchers.
8. The business enterprise sector represents the first employment sector of those doctorate holders not
working as researchers in Belgium, Latvia, Lithuania, the Netherlands, Poland and Slovenia.

DSTI/DOC(2013)4
36
Figure 27. Doctorate holders having changed jobs in the last 10 years, 2009
Notes
50. The question of knowledge transfer between university and industry is of particular interest to
policy makers and may be gauged through the mobility of doctorate holders from higher education to
enterprises. Such mobility, however, remains moderate: the shares of doctorate holders involved are
highest for Slovenia: 20.7% of those working as researchers and 15.6% of those not working as
researchers. The flows are also relatively high among doctorate holders working as researchers in the
Netherlands and among doctorate holders not employed as researchers in Croatia, representing respectively
9.5 and 10.4% of total mobility flows of the respective populations. Elsewhere, the share of flows involved
does not exceed 5% of total mobility, except in Belgium, Latvia and Lithuania.
51. Interestingly, mobility is more prominent the other way around, i.e. from the business sector
towards higher education. Among doctorate holders working as researchers, the flows involved reach
21.0% in Latvia, 20.7% in Portugal and 16.1% in Romania and with the exception of Belgium, the
Netherlands and Russia represent at least 5% in the other countries.
52. Other noticeable types of flows are most probably related to the organisation of the research,
labor market or economic systems of the countries involved. For example, mobility flows of doctorate
holders are relatively important between the government and higher education sectors in Portugal (30.1%
of those working as researchers and 14.1% of those non researchers), in Hungary (13.2% of total
researcher mobility both ways) and, among those who do not work as researchers, from the government to
the business sector (17.5%) in Turkey, as well as inside the private non-profit sector in the Netherlands
(13.3%).
61.1 50.6 45.7 31.4 26.0 25.9 25.4 25.4 23.3 20.8 19.9 19.4 18.4 15.4 12.8
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
Researchers Non researchers Total%

DSTI/DOC(2013)4
37
53. Additional tabulations produced as part of the KNOWINNO-CDH micro data work will give
additional insights on mobility according to field of specialisation and across different occupations, as well
as on the influence of gender and type of contracts.
54. Another important aspect of mobility is its international dimension and this is discussed in the
next section.
6. International mobility and the competition for talent
55. A recent OECD report (Widmaier and Dumont, 2011) reveals that one third of all recent
immigrants to the OECD were tertiary educated. This is an effect of the overall expansion of higher
education worldwide and of the consequent up-skilling of the population combined with increasing
migration flows.
56. Furthermore, the globalisation of the education and research systems associated with policies
aimed at attracting the best talents has a boosting effect on the international mobility of the most highly
skilled. In a previous paper (Auriol, 2010), we could show that the share of foreign born among doctorate
holders is higher than for other tertiary level graduates. In a world in which research is carried out on a
truly global basis and personal transport is more affordable than ever, it might be expected that most
researcher doctorates should have been exposed to an episode of international mobility in order to draw
upon expertise in leading research organisations.
57. The 2009 CDH figures reveal that in the countries for which data is available, an average of 14%
of national citizens with a doctorate have been internationally mobile in the previous 10 years. (Figure 28)
This is a low estimate since the data are based on the declarations of returnees and do not take into account
those who are currently and may remain abroad. Individuals in countries that host world-leading research
organisations may perceive a lesser need to move abroad. However, a number of barriers, including
economic and personal costs, language differences and lack incentives may also explain this apparently
low mobility rate. Most of the reporting countries are European and the data show that Europe is the main
destination region. However, the United States systematically appears among the three first destination
countries (Annex table 4). Likewise, the three largest European countries (France, Germany and the United
Kingdom) appear among the favourite destinations as well as those countries that have strong historical,
cultural or linguistic links with the reporting country.

DSTI/DOC(2013)4
38
Figure 28. International mobility of doctorate holders, by last destination, 2009
Percentage of national citizens with a doctorate who lived/stayed abroad in the past ten years
Notes:
*For Bulgaria, Hungary, Latvia, Malta, Poland, Portugal and Romania, the reporting gap is caused by rounding.
*For the Netherlands and Sweden, the reporting gap is due to data that have not been disclosed for national citizens at the individual
country level and respondents that have not been assigned to countries or classified as unknown.
*"Other economies" refer to those located in Africa, America (excluding the United States), Asia, Europe and Oceania.
58. At least 60% of these returnees have been mobile only once during the ten years under review
(Figure 29). However, in Hungary, Bulgaria, Romania, Spain and Malta, at least 30% went abroad between
two and four times. In terms of length of stay, the picture is more heterogeneous. With the exception of
Hungary, at least 30% of national citizens with a doctorate spent less than a year abroad over the previous
ten years (Figure 30). However, in half of the countries, at least 20% spent one to two years abroad while
in Spain, Portugal and Malta, 30% at least were mobile for a cumulative length of time comprised between
two and less than five years.
59. These indicators show the temporary aspect of mobility since they are based, as mentioned
above, on the declarations of returnees. They reveal that international mobility is in many cases a one-off
and short-term one, although a non negligible share of the population also seems to travel abroad on a more
frequent basis and for longer time periods. Such mobility may take place in the context of research
exchange programmes between universities: we will see below that academic reasons play an important
role in the decision to go abroad. The preliminary results of the KNOWINNO-CDH micro data work also
reveal that those doctorate holders who work as researchers as well as those who work in the higher
education sector are more mobile than the others.
60. The CDH data also informs on intentions to move out of the country in the following year. For
11 countries out of 13, the percentage of those with such intentions is above 5% and reaches 10.9% in
Portugal, 13.2% in Hungary and 16.2% in Turkey.
0
5
10
15
20
25
30
35%
Europe United States No breakdown

DSTI/DOC(2013)4
39
Figure 29. Distribution of mobile national doctorate holders by number of stays abroad, 2009
Notes:
*For the Bulgaria, Hungary, Latvia, Malta, Poland, Portugal and Romania, the reporting gap is caused by rounding.
Figure 30. Distribution of mobile national doctorate holders by length of stay abroad, 2009
Notes:
*For the Bulgaria, Hungary, Latvia, Malta, Poland, Portugal and Romania, the reporting gap is caused by rounding.
0.0
20.0
40.0
60.0
80.0
100.0
1 stay 2 to 4 stays 5 and more tays Unknown
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
90.0
100.0
Less than 1 year 1 to 2 years 2 to less than 5 years 5 to 10 years Unknown

DSTI/DOC(2013)4
40
61. What are the motivations for international mobility? Three types of reasons can be identified as
being prominent in the decision to move: academic factors as mentioned above, other job related or
economic factors and family or personal reasons. Their importance is not the same depending on if
mobility is inward or outward. Academic factors intervene in the decision of 43.9% of those doctorate
holders with intentions to go abroad in the next year, other job related or economic factors for 30.9% and
family or personal reasons for 15%. For those returning, the equivalent percentages are respectively
27.5%, 23.6% and 20.6% (Figure 31). There are of course differences across countries and academic
reasons seem to be play an important role in the decision to go abroad for those doctorate holders from
Portugal (64.1%), Turkey (57.1%) and Spain (54.1%). See more country details in annex tables 5 and 6.
Figure 31. Reasons given by national citizens with a doctorate for going abroad or returning to the home
country, percent, 2009
62. The KNOWINNO-CDH micro data work will further inform on international mobility patterns
according to age, sex, sector of employment, field of science, type of contract, seniority as a researcher as
well as involvement in collaboration and networking activities.
63. The above indicators give interesting information on international mobility but do not inform on
the migration patterns and possible brain drain of doctorate holders. The data at hand are too sparse and
not sufficiently robust to allow such analysis (see methodological information in annex 1). The Database
on Immigrants in OECD Countries (DIOC) may however be used to look at migration patterns of doctorate
holders in a limited number of OECD countries for which data on individuals having received a doctoral
degree are available.
0.0
10.0
20.0
30.0
40.0
50.0
Academic factors
Other job related or economic
factors
Completion of doctorate
End of postdoc or job contract
abroad
Political or other reason
Family or personal reasons
Unspecified
With mobility intentions (average on 11 countries) Retunees (average on 13 countries)

DSTI/DOC(2013)4
41
Box 3. The Database on Immigrants in OECD Countries
The Database on Immigrants in OECD Countries (DIOC) provides comprehensive and comparative information
on a broad range of demographic and labour market characteristics of immigrants living in OECD countries. The
database has been compiled in collaboration with OECD national statistical offices. The main sources of data are
population censuses and population registers, sometimes supplemented by labour force surveys
(http://www.oecd.org/migration/dioc).
A first version of the database was compiled using data from the round of censuses circa 2000. This exercise
will be repeated with the census round circa 2010. In the meantime a quinquennial update for 2005/06 was
recently made available drawing on existing quinquennial censuses, registers and labour force surveys.
In the 2000/01 version, data on the migrant population having received a degree at the ISCED 6 level was
available for two thirds of the OECD countries. In the 2005/06 version, because of the increased used of non
census data, in particular labour force surveys for which the sample of doctorate holders might be too limited in
size, data for the population at the ISCED 6 level is available for only seven countries, i.e. those countries having
quinquennial census or well established population registers: Australia, Canada, Denmark, Finland, Ireland,
Sweden, United States. For the latter country, because of the discontinuation of the decennial longer form, the data
source used is the American Community Survey (ACS) for which an average of data collected from January 1,
2007 to December 31, 2009 has been calculated.
The advantage of using this database is that, for some of the above countries, it ensures a full coverage of the
foreign and migrant populations compared to the CDH data. For example, in the case of the United States, those
doctorate holders who have received their doctoral degree in a non-US university are covered as well as those who
have a doctorate in the humanities. The numbers between the two data sources are therefore different. In the
case of the DIOC, the population also covers all individual aged 15 or above in contrast to the CDH data source
which covers only individuals below 70.
For these reasons, the DIOC database provides an interesting and homogenous dataset that can be used to
look at the migration patterns of the doctoral population.
64. The recent update of the DIOC reveals that the migrant population - defined as the foreign born
population - in the OECD (25 countries) increased by 16.9 million (23%) between 2000 and 2005/06
(Widmaier and Dumont, 2011). During the same period, the share of the highly educated population living
in the OECD countries, increased by 3 percentage points for the native-born and by 5 percentage points for
the foreign-born. In 2005/06, about 26 million immigrants holding a university degree were living in the
OECD countries. Furthermore, migration of highly educated women increased significantly.
65. In the case of doctorate holders, the data are available for six countries and show a higher growth
rate for the foreign-born doctorate holders than for the native-born in four countries: in Denmark there
were 1 056 foreign born doctorate holders in 2005-06 against 637 in 2000 (+65.8%), in Finland 1 928
against 1 080 (+78.5%), in Ireland 5 392 against 3 699 (+45.8%) and in the United States 610 056 against
442 323 (+37.9). This is not the case in Australia and Canada although the foreign-born population has
also increased significantly: 44 589 in 2005-06 against 31 279 in 2000 (+42.6%) and 92 400 against 69 125
(33.7%) respectively. The only country that has seen its foreign-born doctoral population decrease is
Sweden; from 13 420 to 13 245 (-1.3%) although the trend has been positive for females from 4 775 to 4
845 (+1.5%). More generally, the growth of the female doctoral population has been much higher than
that of its male counterpart for both the native and the foreign-born (see Figure 32).

DSTI/DOC(2013)4
42
Figure 32. Percent change in the number of native-born and foreign-born doctorate holders in seven OECD
countries between 2000 and 2005/06
Source: OECD, Database on immigrants in the OECD countries, 2012.
Mobility and emigration of doctorate holders to the United States
66. Since the end of the second world war, the United States has been a magnet for the research
community in Europe and elsewhere in the world, offering particularly attractive infrastructure and
working conditions.
67. The DIOC provides for the first time a full picture of the migration trends of the doctoral
population to the United States over the period comprised between 2000 and 2005-20099
. There were
around 610 000 foreign-born doctorate holders in the United States in 2005-2009 representing 27% of the
total population of doctorate holders in this country and an increase of 38% compared to 2000. This figure
represents the volume or stock of foreign-born doctorate holders, which is the outcome of successive
waves of migration or mobility. Some of these individuals may have entered the country a long time ago
while others have arrived more recently. Half of these were born in Asia and 28% in Europe.
68. Close to 100 000 doctorate holders were born in China, of which 40% have US citizenship
(annex table 7).10
The equivalent numbers for India are 64 000 and 54%. South Korea the United
Kingdom, Germany, Canada and Chinese Taipei form a group of economies that each have between
20 000 and 30 000 native born doctoral graduates residing in the United States ; the Russian Federation,
Mexico, Japan and France between 10 000 and 20 000. Not all of these doctorate holders have acquired US
citizenship and a non-negligible share may only be in the United States on a temporary basis or short-term
visit. Interestingly, many of the above cited countries have also large numbers of doctoral graduates. Some
foreign born may however have received their doctoral degree in the United States, but others may have
9. The data are based on the US census for 2000 and on an average from the American Community Survey
results over the period 2005-2009 (see Box 3).
10. Most were probably Chinese citizens when they first arrived in the US who subsequently aquired US
citizenship although this figure may incude a limited number of US citizens who were born in China.
0
20
40
60
80
100
Australia Canada Denmark Finland Ireland Sweden United States
Native-born total Foreign-born total Native born women Foreign born women
%

DSTI/DOC(2013)4
43
come for academic or job related reasons and may also return to their home country as we have seen
above.
Figure 33. Share of foreign born doctorate holders with US citizenship by country of birth - Change in
percentage points between 2000/01 and 2005/09
69. Annex table 7 gives the number of foreign-born doctorate holders and share of those having
acquired US citizenship, as well as the change in time over the period between 2000 and 2005-2009, for
about 45 countries representing 75% of all foreign-born doctorate holders in the United States. This gives
an indicator of brain drain. Figure 33 reveals that the countries for which the progression in the acquisition
of US citizenship among doctorate holders has been most steady are the Russian Federation, Bulgaria,
Australia and New Zealand, each having seen double their number of natives acquiring US citizenship.
The share of native-born who acquired US citizenship has remained stable for Canada, Germany and South
Africa and has decreased for two out of five countries, probably indicating that doctorate holders come
more for mobility reasons than with the intention to migrate. There may however be a non-negligible
share of foreign-born who, without acquiring the US citizenship, will settle in the United States for a long
time.
70. These numbers should be compared with the total stock of doctorate holders in the origin
country. This is done in Figure 34 using as a denominator data from DIOC where available and data from
CDH for the other countries. The data show that for countries like Australia, Germany and the Russian
Federation, the share of native doctorate holders residing in the United States does not exceed 5% of those
in the country while it is three times higher for Ireland, Canada and Israel and exceeds 20% in smaller
countries like Iceland, Slovenia and Latvia.
-15.0
-10.0
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
Russia
Bulgaria
NewZealand
Australia
Finland
Estonia
Spain
India
ChineseTaipei
Greece
Chile
Mexico
Japan
Switzerland
Latvia
Poland
UnitedKingdom
Portugal
France
Sweden
Ireland
China
Turkey
Germany
Canada
SouthAfrica
Brazil
Denmark
Belgium
Netherlands
Indonesia
Austria
Iceland
Croatia
Romania
Lithuania
Hungary
Italy
Israel
Argentina
FormerCzechoslovakia
Norway

DSTI/DOC(2013)4
44
Figure 34. Number of foreign born doctorate holders residing in the United States as a percentage of total
doctorate holders in the country of birth, 2005-2009
Source: OECD estimates based on the database on immigrants in the OECD countries 2012 and the OECD/UNESCO Institute for
Statistics/Eurostat data collection on careers of doctorate holders 2010.
71. This analysis has shown that both international mobility and migration of doctorate holders have
increased over the past decade. However, while the United-States has continued attracting many foreign
born among doctoral graduates since 2000, a variety of indicators, of which the number of visa deliveries,
point to a decline in the immigration of foreign scientists and engineers during the recent economic
downturn according to the recent findings from the National Science Board 2012 S&E indicators (NSB,
2012). It will be interesting to see how this involves in the future.
7. Conclusions
72. The CDH initiative has been continuously evolving and learning from previous experiences over
its relatively short history. The present analysis has at the same time confirmed a number of findings from
the previous CDH data collection and shed light on new ones. Most importantly, the results presented in
this document showcase the potential of CDH data to inform policy questions that bear on the labour
market and careers of doctorate holders and researchers. Throughout the project, a number of topics have
raised particular interest among the participating research teams, pointing to future areas of survey
development for testing. Indeed, the changing economic environment, the increasing diversity of career
patterns and the changes in the organisation of the research landscape may require the use of a different
and broader set of skills. This dimension needs to be measured and analysed with the appropriate tools.
The revised methodological guidelines and model questionnaire include proposals for capturing
information that is relevant to these questions. CDH data can also provide a useful tool for analysing the
contribution of doctorate holders to entrepreneurship. There is increase interest in the phenomenon of
academic entrepreneurship; and observers have also noted the importance of doctorate training for
individuals who started, but never completed their doctoral studies as they chose to develop their
inventions by starting up new businesses. The next data collection efforts should help shedding light on
these new areas of interest.
0.0
5.0
10.0
15.0
20.0
25.0
30.0
Foreign born Of which with US citizenship

DSTI/DOC(2013)4
45
REFERENCES
Auriol, L. (2010), “Careers of Doctorate Holders: Employment and Mobility Patterns”, OECD Science,
Technology and Industry Working Papers, 2010/04, OECD Publishing.
http://dx.doi.org/10.1787/5kmh8phxvvf5-en
Calmand and Vera (2011), Insertion des sortants du supérieur : les effets contrastés de la
professionnalisation, Bref du CEREQ, n° 294-2, 2011, 4 p.
EC (2007), Remuneration of Researchers in the Public and Private sectors by CARSA, European
Commisson (2007)
Harfi and Auriol (2010), the Employability Problems of doctorate Holders: Explaining a “French
Exception”, La note d’analyse numéro 189, Centre d’Analyse Stratégique.
Institut de France (2008), Institut de France, Académie des sciences, “Report: Attractiveness of careers in
research” (2008).
NISTEP (2011), NISTEP Research Material No. 202, “Survey on Postdoctoral Fellows regarding
employment and moving-out situations (FY2009)”, 2011.
NISTEP (2008), NISTEP Research Material No. 161, “Investigative Survey on the Research Activities and
Awareness of Postdoctoral Fellows: Analysis on Career Choices of Postdoctoral
ScholarsInvestigative Survey on the Research Activities and Awareness of Postdoctoral Fellows”
(2008).
NSB 2012, National Science Board, 2012 S&E indicators.
OECD (2008), Paulo Santiago, Karine Tremblay, Ester Basri and Elena Arnal, “Tertiary Education for the
Knowledge Society”, Vol. 2, OECD, Paris, 2008.
OECD (2010), Skills for Innovation and Research, OECD Innovation Strategy, OECD 2010
OECD (2011), Education at a glance 2011: OECD indicators, OECD, Paris.
OECD (2011b), OECD Science, Technology and Industry Scoreboard 2011, OECD, Paris.
OECD (2012), Transferable Skills Training for Researchers: Supporting Career Development and
Research, OECD, Paris, forthcoming.
OSTP (2004), President’s council of advisors on science and technology, “Sustaining the Nation’s
Innovation Ecosystem: Maintaining the Strength of Our Science & Engineering Capabilities”
(2004).
Science (2012), A Stellar Opportunity By Beryl Lieff Benderly by Beryl Lieff Benderly, July 06, 2012,
http://sciencecareers.sciencemag.org/career_magazine/previous_issues/articles/2012_07_06/caredit.a
1200075
Widmaier, and Dumont (2011), “Are recent immigrants different? A new profile of immigrants in the
OECD based on DIOC 2005/06”, OECD Social, Employment and Migration Working Papers No.
126, Directorate for Employment, Labour and Social Affairs, OECD Publishing,
http://dx.doi.org/10.1787/5kg3ml17nps4-en

DSTI/DOC(2013)4
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ANNEX 1
THE CAREERS OF DOCTORATE HOLDERS PROJECT (CDH):
DESCRIPTION AND METHODOLOGY
Background
With a view to better understand the labour market, career path and mobility of a population, which is
seen as being key to the production and diffusion of knowledge and innovation, the OECD, in coordination
with the UNESCO Institute for Statistics and Eurostat launched in 2004 a specific project on the Careers of
Doctorate Holders (CDH). The two first years of the project were devoted to the methodological
developments and a pilot data collection. A network of experts formed of official statisticians was built
and worked at identifying the various data sources that could be utilized at national level to build registers
of doctoral graduates or produce statistical data. The Expert Group also worked with the three
intergovernmental organizations to develop the three components of the technical guidelines: a model
survey questionnaire, methodological guidelines and a set of output tables for the collecting data at the
international level.
A pilot data collection was organized in 2005 in which seven countries – Argentina, Australia,
Canada, Germany, Portugal, Switzerland and the United States -- participated. The results of this first data
collection were presented in the OECD working paper DSTI/DOC(2007)2 (Auriol, 2007) and were used to
improve the methodology and guidelines of the project described above.11.
A first large-scale data collection was then launched in November 2007 in which some 25 countries
participated, most of them European and benefitting from financial support by Eurostat.12
. This collection
provided a rich set of data and metadata, the results of which were extensively discussed in a workshop and
expert group meeting in December 2008. A database was built and a first set of indicators were released on
the OECD dedicated Web site (www.oecd.org/sti/cdh). The data were further analyzed in a working paper
DSTI/DOC(2010)4 (Auriol, 2010) and the technical guidelines revised in DSTI/DOC(2010)1 (Auriol,
Felix, Schaaper, 2010).13
11. See http://www.oecd.org/dataoecd/17/57/38055153.pdf
12. Australia, Austria, Belgium, Bulgaria, Canada, Croatia, Czech Republic, Cyprus, Denmark, Estonia,
Finland, Germany, Iceland, Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Romania, Slovakia,
Spain, Sweden, Switzerland, United States.
13. See http://www.oecd.org/dataoecd/46/43/44893058.pdf and
http://www.oecd.org/dataoecd/46/43/44893058.pdf.

DSTI/DOC(2013)4
47
The 2010 CDH data collection
The second large scale data collection also benefitted from the participation of 25 countries.14
. The
data to be reported by the participating countries were on the situation of doctorate holders as of 1
December 2009. In this section we describe the methodological approach adopted by the reporting
countries and how some differences in the data sources and coverage of the target population may affect
the comparability of the data. Country details are found in table A at the end of this annex.
Main data sources used to report CDH data
One of the most difficult challenges in the CDH exercise is for each country to find the best way to
build a directory of its doctoral graduate population. Some recommendations are given in the
methodological guidelines on how to do this.
We can distinguish two types of different approaches and eventually two different groups of
countries:
1. Those using already existing surveys and/or registers (or administrative data) to report CDH data
2. Those using the CDH model survey questionnaire and hence having built a specific register of
doctorate holders.
In the first group, we find two economies that have used their labour force survey to report CDH data
(Germany and Switzerland), those relying on their population registers (Denmark, Finland, Norway and
Sweden) and one using an already existing database (i.e Chinese Taipei).15
All the other countries have
conducted a CDH dedicated survey as recommended in the methodological guidelines.
The United States however represent a case in point in the sense that it uses data derived from long
and well established surveys on which the CDH survey is to a great extent inspired.
The use of these different data sources has an impact on both the coverage of the target population
and the coverage of the variables to be reported as explained below.
Differences in coverage
The target population as defined in the CDH methodological guidelines is: ‘all individuals having an
education at ISCED 6 level (doctorates) obtained anywhere in the world, and being resident (permanent or
non-permanent) within the national borders of the surveying countries’. The main challenge in making this
definition operational has to do with the coverage of foreign citizens and those with a doctoral degree
obtained abroad.
This challenge is less problematic in those countries relying on labour force surveys (or censuses) and
such register data (although part of the foreign doctoral graduates may not be fully registered in those latter
14. Belgium, Bulgaria, Croatia, Denmark, Finland, Germany, Hungary, Iceland, Israel, Latvia, Lithuania,
Malta, Netherlands, Norway, Poland, Portugal, Romania, Russian Federation, Slovenia, Spain, Sweden,
Switzerland, Chinese Taipei, Turkey, United States.
15. Germany however has decided to move to a dedicated survey that will be conducted in 2012. This survey
will not only cover doctorate holders, but also other higher education graduates.

DSTI/DOC(2013)4
48
administrative sources).16
For those countries having dedicated CDH surveys, foreign citizens or graduates
who obtained their doctorate abroad are in most cases under-covered.
In the case of the United States, the sample of doctorate holders is updated with foreign citizens and
those with non-US doctoral degrees at the time of the decennial census. Else the target population only
covers those graduates with doctoral degrees obtained in the United States.
It may also be challenging to achieve full coverage of other segments of the target population,
e.g those who received their doctoral degrees many years ago, those who are not active or who are
unemployed. Furthermore, once constructed, keeping a register of doctorate holders updated with the new
graduates is difficult in certain countries. In such cases, there are a few other limitations as regards the
coverage of the target population in some countries:
• Data for Belgium, Germany, the Netherlands and Spain refer only to graduation years from
1990 and onwards.
• For Romania, unemployed and inactive doctorate holders are underestimated.
• For the Russian Federation, data relate only to those doctoral graduates employed as
researchers and teachers.
• For Spain, there is limited coverage of doctorate holders for the years 2007 to 2009.
• Data for the United States exclude doctorate holders in the humanities
It is also worth mentioning that while those countries that use labour force survey and register data
achieve a better coverage of the target population, they can report only for a limited number of variables
that have to do with the main population, labour force and employment characteristics of doctorate holders
and not for those specific CDH variables regarding e.g. perception of the employment situation or
international mobility.
Countries using labour force surveys are also limited by the sample size of the doctorate holder
population for reporting on certain variables.
Other less important limitations are signalled in the notes attached to the graphs and tables of this
paper and further methodological information is available in the Eurostat document ‘Evaluation of the
CDH 2009 data collection exercise’ (Doc.Eurostat/F4/CDH/2011/2/Rev.1).
16. In the previous data collection, as well as probably in the future, some countries also used their census to
report CDH data or build their directory of doctorate holders.

DSTI/DOC(2013)4
49
Table A. Main characteristics of the national CDH primary data sources and surveys – 2010 data collection
Country
Primary data
source
Reference year(s) Web based survey
Sample or census
size (value) and/or
sample rate (%)
Sampling method
Response
rate
Belgium
CDH dedicated
sample survey
2009 Yes -- Stratified sampling 28%
Bulgaria
CDH dedicated
sample survey
2009 No 2,000 / 13%
Stratified sampling
by region
55%
Croatia
CDH dedicated
sample survey
2009
On-line
questionnaire
available on the
website of CBS
Croatia and paper
questionnaire
2,502 / 28%
Stratified sampling
by age, sex and
fields of science
43%
Denmark Register data 2008/2009 -- -- -- --
Finland Register data 2008 -- -- -- --
Germany Labour force survey 2009 -- -- -- --
Hungary
CDH dedicated
census
2009
Electronic and
paper
questionnaires
-- -- 23%
Iceland
CDH dedicated
census
2009
Internet survey.
The respondents
were sent a
username and
password with a
paper letter.
600 / 30% Random sampling 61%
Israel
CDH dedicated
sample survey
2009
Paper
questionnaire sent
by mail, internet
questionnaire and
CATI (Computer-
Assisted Telephone
Interviewing).
7%
Stratified sampling
by sex, age and
economic
branch/occupation
82%
Latvia
CDH dedicated
sample survey
2009
Computer assisted
face-to-face or
telephone
interviews and by
e-mail
43% -- 65%
Lithuania
CDH dedicated
sample survey
2009
Paper
questionnaire only
1,408 / 25.7%
Stratified sampling
by age and fields of
science
57%
Malta
CDH dedicated
census
2009 Paper postal survey 556 -- 75%
Netherlands
CDH dedicated
sample survey
2009
Internet survey
(CAWI)
43% -- 54%
Norway Register data --
Poland
CDH dedicated
sample survey
2008
CDH e-
questionnaire
40% -- 7%
Portugal
CDH dedicated
sample survey
2009
Web and paper
questionnaires
30%
Stratified sampling
by sex, age class,
field of science and
year of doctorate
awarded
71%
Romania
CDH dedicated
sample survey
2008 -- 15,215 -- 49%
Russian
Federation
CDH dedicated
sample survey
2009 -- 3,450 / 1%
Stratified sampling
by region, age and
fields of science
--
Slovenia
CDH dedicated
sample survey
2009
Postal and
telephone
questionnaire
2,114 /28.5%
Statified sampling
by sex, age groups,
doctorate holders
and main fields of
science
66%

DSTI/DOC(2013)4
50
Country
Primary data
source
Reference year(s) Web based survey
Sample or census
size (value) and/or
sample rate (%)
Sampling method
Response
rate
Spain
CDH dedicated
sample survey
2009
Yes + paper +
interviews
6,000
Stratified sampling
by region and age
69%
Sweden Register data 2009
Switzerland Labour force survey 2009 -- -- -- --
Chinese Taipei
Administrative
sources
2009
Turkey
CDH dedicated
sample survey
2009
Combination of
face-to-face, web-
based and postal
survey
10,433 / 10%
Stratified sampling
by sex and age
group
78%
United States
CDH dedicated
sample survey
2003/2008
Paper
questionnaire,
online
questionnaire,
computer assisted
telephone interview
40,000 / 6%
Stratified sampling
by citizenship,
race/ethnicity,
disability status,
gender, degree
field
81%
Source: OECD, OECD/UNESCO Institute for Statistics/Eurostat data collection on careers of doctorate holders 2010.

DSTI/DOC(2013)4
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ANNEX 2
ANNEX TABLES

DSTI/DOC(2013)4
52
Annex table 1. Total doctorate holders, by labour force status, 2009
Refere
nce
year
Total employed Unemployed Inactive Unspecified situation Total
Men Women Unknown Total Men Women Total Men Women Unknown Total Men Women Unknown Total Men Women Total
Belgium 2009 94.8 93.8 87.5 94.5 1.1 2.0 1.4 1.1 2.0 6.3 1.4 2.9 2.2 6.3 2.7 100.0 100.0 100.0
Bulgaria 2009 93.5 94.3 .. 93.8 1.0 0.3 0.7 5.5 5.3 .. 5.4 .. .. .. .. 100.0 100.0 100.0
Croatia 2009 93.7 93.4 .. 93.6 0.8 0.6 0.7 5.4 5.9 .. 5.6 .. .. .. .. 100.0 100.0 100.0
Denmark 2008 95.3 94.2 .. 94.9 0.4 0.6 0.5 4.2 5.2 .. 4.6 .. .. .. .. 100.0 100.0 100.0
Finland 2008 85.3 87.0 .. 86.0 1.9 2.4 2.1 12.8 10.6 .. 11.9 .. .. .. .. 100.0 100.0 100.0
Germany 2009 96.6 88.5 .. 93.7 1.5 2.5 1.8 1.9 9.1 .. 4.5 .. .. .. .. 100.0 100.0 100.0
Hungary 2009 94.8 89.8 .. 93.2 0.9 0.7 0.9 3.6 8.1 .. 5.0 0.7 1.4 .. 0.9 100.0 100.0 100.0
Israel 2009 89.1 85.7 .. 87.8 1.4 3.0 2.0 8.0 10.3 .. 8.9 1.5 1.0 .. 1.3 100.0 100.0 100.0
Latvia 2009 89.8 88.3 .. 89.1 1.9 1.2 1.6 8.3 10.5 .. 9.4 .. .. .. .. 100.0 100.0 100.0
Lithuania 2009 97.2 93.8 .. 95.7 0.3 0.5 0.4 2.6 5.7 .. 3.9 .. .. .. .. 100.0 100.0 100.0
Malta 2009 90.8 96.5 .. 92.1 1.2 .. 0.9 8.0 3.5 .. 7.0 .. .. .. .. 100.0 100.0 100.0
Netherlands 2009 95.8 93.9 .. 95.2 1.4 1.3 1.4 2.7 4.8 .. 3.4 .. .. .. .. 100.0 100.0 100.0
Norway 2009 94.2 92.6 .. 93.7 1.1 1.5 1.2 4.7 6.0 .. 5.1 .. .. .. .. 100.0 100.0 100.0
Poland 2008 98.7 97.8 .. 98.3 1.1 1.6 1.3 0.2 0.6 .. 0.4 .. .. .. .. 100.0 100.0 100.0
Portugal 2009 98.4 97.6 .. 98.0 0.4 0.4 0.4 1.2 1.9 .. 1.5 .. .. .. .. 100.0 100.0 100.0
Slovenia 2009 92.5 92.3 .. 92.4 1.1 1.3 1.2 6.4 6.4 .. 6.4 .. .. .. .. 100.0 100.0 100.0
Spain 2009 96.3 95.9 .. 96.1 1.7 2.6 2.1 2.1 1.5 .. 1.8 .. .. .. .. 100.0 100.0 100.0
Chinese
Taipei 2009
94.5 96.3 .. 94.9 1.2 0.7 1.1 .. .. .. 4.0 4.3 3.1 .. 0.0 100.0 100.0 100.0
Turkey 2009 93.6 91.7 .. 93.0 0.8 1.0 0.9 5.4 7.2 .. 6.0 0.1 0.2 .. 0.2 100.0 100.0 100.0
United States 2008 89.9 89.4 .. 89.8 1.4 1.7 1.5 8.7 8.9 .. 8.7 .. .. .. .. 100.0 100.0 100.0
Notes:

DSTI/DOC(2013)4
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Annex table 2. Unemployment rates of doctorate holders, by field of study, 2009
Referenc
e year
Natural
sciences
Engineerin
g
Medical
sciences
Agricultur
al
Sciences
Social
sciences
Humanities Unknow
n
Total
Belgium 2009 1.4 0.9 0.7 0.7 1.9 3.7 2.5 1.4
Bulgaria 2009 0.8 0.6 1.1 0.0 0.0 1.5 .. 0.7
Croatia 2009 0.4 0.0 1.5 1.0 1.1 0.5 .. 0.7
Denmark 2008 0.6 0.1 0.4 1.0 0.4 1.1 .. 0.5
Finland 2008 3.1 1.4 0.8 3.4 2.3 3.6 8.8 2.1
Germany 2009 .. .. .. .. .. .. .. 1.8
Hungary 2009 0.5 0.9 1.1 0.0 0.0 2.8 5.6 0.9
Israel 2009 2.2 .. 2.4 9.9 1.0 3.7 .. 2.0
Latvia 2009 1.8 0.7 1.3 2.8 1.5 2.4 .. 1.6
Lithuania 2009 0.2 0.3 0.6 0.0 0.3 0.7 .. 0.4
Malta 2009 1.4 1.9 1.6 0.0 0.9 0.0 .. 0.9
Netherlands 2009 1.7 1.3 0.6 1.7 1.3 3.9 .. 1.4
Norway 2009 1.0 1.1 1.0 1.2 0.9 2.2 2.9 1.2
Poland 2008 2.1 0.8 0.7 1.7 0.4 1.8 .. 1.3
Portugal 2009 0.2 0.6 1.1 0.4 0.4 0.3 .. 0.4
Spain 2009 2.8 1.5 1.2 4.6 1.4 2.4 .. 2.1
Chinese Taipei 2009 1.7 0.9 0.8 2.5 0.7 1.0 2.3 1.1
Turkey 2009 0.7 0.8 0.8 1.7 1.2 0.2 .. 0.9
United States 2008 1.7 1.6 1.5 1.6 1.1 .. .. 1.5
Notes:

DSTI/DOC(2013)4
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Annex table 3. Doctorate holders having changed jobs in the last 10 years by origin and destination sectors, 2009
Employed as researchers in: Employed not as researchers in:
Previous
sector:
Business
enterprises
Government
Higher
education
Private
non-profit
Unknown Total
Business
enterprises
Government
Higher
education
Private
non-profit
other
education
Unknown Total
Belgium BES 22.1 1.4 4.1 1.6 0.7 29.8 29.5 5.5 2.7 4.9 1.6 0.5 44.8
GOV 1.4 3.2 1.4 0.5 0.0 6.3 2.2 7.1 0.5 0.5 0.5 0.0 10.9
HES 5.4 3.8 42.9 2.0 0.9 55.1 5.5 4.4 13.1 2.7 1.1 0.0 26.8
PNP 0.9 1.6 0.9 2.3 0.2 5.9 1.1 2.2 0.0 6.0 0.0 0.0 9.3
Other educ. 0.5 0.0 0.7 0.0 0.2 1.4 0.5 1.1 2.7 0.0 2.7 0.0 7.1
Unknown 0.0 0.0 1.6 0.0 0.0 1.6 0.5 0.0 0.0 0.5 0.0 0.0 1.1
Total sectors 30.2 9.9 51.5 6.3 2.0 100.0 39.3 20.2 19.1 14.8 6.0 0.5 100.0
Bulgaria BES 0.2 0.3 9.5 3.9 0.0 13.9 17.5 4.7 4.9 10.0 0.0 0.0 37.0
GOV 1.1 18.8 14.5 2.4 0.0 36.8 9.9 9.5 9.7 4.1 0.0 0.6 33.8
HES 1.3 5.8 26.3 0.0 0.0 35.6 0.0 0.0 2.7 3.4 0.0 1.5 7.6
PNP 0.0 1.1 1.6 1.4 0.0 4.2 3.4 2.6 5.3 4.7 0.0 0.0 16.1
Other educ. 2.2 0.0 6.8 0.0 0.0 9.0 0.0 0.0 0.0 0.0 2.8 0.0 2.8
Unknown 0.0 0.2 0.3 0.0 0.0 0.5 0.0 0.0 0.0 0.0 0.0 2.5 2.5
Total sectors 4.8 26.3 59.0 7.7 2.2 100.0 30.8 16.8 22.6 22.2 2.8 4.7 100.0
Croatia BES 1.5 4.0 14.1 0.0 0.0 19.6 25.4 1.5 9.5 0.0 0.0 0.0 36.7
GOV 2.2 11.6 19.4 0.0 0.0 33.2 10.4 18.4 10.0 4.7 1.7 0.0 44.9
HES 3.9 9.5 21.9 0.5 0.0 35.9 10.0 1.5 1.1 0.0 0.0 0.0 12.7
PNP 0.0 0.0 3.1 0.0 0.0 3.1 0.0 1.3 0.0 0.0 0.0 0.0 1.3
Other educ. 0.0 1.1 7.0 0.0 0.0 8.3 0.0 1.5 3.0 0.0 0.0 0.0 4.4
Unknown 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Total sectors 7.5 26.3 65.6 0.5 0.1 100.0 45.8 24.2 23.5 4.7 1.7 0.0 100.0
Hungary BES 4.6 2.9 8.6 0.3 0.0 16.3 30.4 1.4 7.2 1.4 1.4 0.0 42.0
GOV 4.0 13.5 13.2 1.1 0.0 31.8 5.8 10.1 7.2 0.0 0.0 0.0 23.2
HES 3.4 13.2 27.8 1.1 0.0 45.6 5.8 5.8 11.6 1.4 0.0 0.0 24.6
PNP 0.3 0.3 1.4 0.3 0.0 2.3 0.0 0.0 1.4 4.3 0.0 0.0 5.8
Other educ. 0.0 0.3 3.7 0.0 0.0 4.0 0.0 1.4 2.9 0.0 0.0 0.0 4.3
Unknown 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Total sectors 12.3 30.1 54.7 2.9 0.0 100.0 42.0 18.8 30.4 7.2 1.4 0.0 100.0

DSTI/DOC(2013)4
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Employed as researchers in: Not employed as researchers in:
Previous
sector:
Business
enterprises
Government
Higher
education
Private
non-profit
Unknown Total
Business
enterprises
Government
Higher
education
Private
non-profit
other
education
Unknown Total
Latvia BES 7.5 3.1 21.0 0.0 0.0 31.6 32.8 1.7 2.3 0.0 0.0 0.0 36.8
GOV 2.5 13.0 13.1 0.5 0.0 29.0 12.6 17.2 5.7 0.0 0.0 0.0 35.6
HES 5.6 5.9 21.8 0.0 0.0 33.8 3.4 6.3 11.5 0.0 0.0 0.0 21.3
PNP 0.0 0.5 0.7 0.0 0.0 1.1 0.0 0.0 2.3 0.0 0.0 0.0 2.3
Other educ. 0.0 0.0 3.3 0.0 0.0 4.4 2.3 0.0 1.7 0.0 0.0 0.0 4.0
Unknown 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Total sectors 15.6 22.5 59.8 0.5 1.6 100.0 51.1 25.3 23.6 0.0 0.0 0.0 100.0
Lithuania BES 7.8 2.6 12.9 0.0 0.0 23.3 23.6 4.9 6.1 0.0 1.2 0.0 35.8
GOV 4.2 9.9 17.9 0.0 0.0 32.0 6.9 15.8 3.7 0.0 0.0 0.0 26.4
HES 3.6 4.6 25.4 0.0 0.0 33.5 8.6 9.2 7.3 0.0 2.8 0.0 27.8
PNP 0.0 0.0 2.3 0.0 0.0 2.3 0.0 0.0 1.2 0.0 0.0 0.0 1.2
Other educ. 0.7 1.0 7.1 0.0 0.0 8.9 3.8 1.7 2.5 0.0 0.8 0.0 8.8
Unknown 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Total sectors 16.3 18.1 65.6 0.0 0.0 100.0 42.9 31.7 20.7 0.0 4.7 0.0 100.0
Netherla
nds
BES 15.1 2.4 4.0 3.2 0.0 23.8 28.0 3.7 1.2 2.4 1.2 0.0 37.8
GOV 2.4 7.1 2.4 1.6 0.0 13.5 3.7 8.5 1.2 2.4 0.0 0.0 14.6
HES 9.5 4.0 23.8 5.6 0.0 43.7 7.3 3.7 7.3 3.7 1.2 0.0 23.2
PNP 3.2 2.4 3.2 7.1 0.0 16.7 2.4 2.4 1.2 13.4 0.0 0.0 20.7
Other educ. 0.0 0.0 0.8 0.0 0.8 2.4 0.0 1.2 0.0 0.0 2.4 0.0 4.9
Unknown 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Total sectors 30.2 15.1 34.9 17.5 2.4 100.0 42.7 18.3 11.0 23.2 4.9 0.0 100.0
Portugal BES 2.0 1.3 20.7 0.4 0.0 24.3 3.4 2.9 18.9 0.8 0.0 0.0 26.0
GOV 0.3 4.3 30.1 1.0 0.0 35.8 0.0 0.7 14.1 0.0 3.5 0.0 18.3
HES 1.2 2.9 27.1 1.8 0.0 33.0 1.9 0.9 26.9 1.3 0.0 0.0 30.9
PNP 0.1 0.0 6.1 0.7 0.0 6.9 0.0 0.0 6.3 2.4 0.0 0.0 8.7
Other educ. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3 14.9 0.8 0.0 0.0 16.0
Unknown 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Total sectors 3.7 8.5 83.9 3.9 0.0 100.0 5.3 4.8 81.1 5.4 3.5 0.0 100.0

DSTI/DOC(2013)4
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Previous
sector:
Business
enterprises
Government
Higher
education
Private
non-profit
Unknown Total
Business
enterprises
Government
Higher
education
Private
non-profit
other
education
Unknown Total
Romania BES 4.3 3.3 16.1 0.0 0.0 23.7 11.3 5.2 7.7 0.6 1.5 0.0 26.3
GOV 0.9 7.9 14.3 0.0 0.0 23.1 2.7 15.6 7.3 0.5 0.6 0.0 26.6
HES 1.2 5.3 31.0 0.0 0.0 37.6 2.2 5.7 13.0 0.3 1.5 0.0 22.7
PNP 0.3 0.6 1.4 0.9 0.0 3.2 0.3 1.3 2.0 0.2 0.2 0.0 4.0
Other educ. 0.3 2.2 10.0 0.0 0.0 12.5 0.3 2.2 8.4 0.5 9.1 0.0 20.5
Unknown 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Total sectors 7.1 19.3 72.7 0.9 0.0 100.0 16.8 30.0 38.4 2.0 12.9 0.0 100.0
Russia BES 7.9 15.2 2.4 0.0 1.2 26.8 12.3 0.0 11.5 0.0 0.4 0.0 24.2
GOV 4.3 25.6 3.0 0.0 0.0 32.9 3.9 0.0 9.9 0.0 0.0 0.2 14.0
HES 1.8 11.0 6.1 0.0 0.6 19.5 5.1 0.0 34.5 0.0 0.0 0.0 39.6
PNP 0.0 1.8 0.0 0.0 0.0 1.8 0.2 0.0 0.8 0.0 0.0 0.0 1.0
Other educ. 0.0 3.7 0.0 0.0 0.0 3.7 0.8 0.0 8.4 0.0 0.4 0.0 9.7
Unknown 1.8 12.8 0.6 0.0 0.0 15.2 2.1 0.0 9.2 0.0 0.2 0.0 11.5
Total sectors 15.9 70.1 12.2 0.0 1.8 100.0 24.4 0.0 74.3 0.0 1.0 0.2 100.0
Slovenia BES 3.1 1.6 8.8 0.9 0.0 14.4 19.0 5.1 2.9 1.9 0.8 0.0 29.9
GOV 3.8 2.3 15.6 0.8 0.0 22.5 6.3 19.4 3.9 2.0 0.0 0.0 31.6
HES 20.7 9.6 23.4 0.9 0.0 55.6 15.6 11.4 4.9 0.8 1.2 0.0 34.0
PNP 1.1 0.8 1.6 0.0 0.0 3.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Other educ. 0.0 0.0 3.3 0.0 0.0 3.3 1.7 0.8 0.8 0.0 1.2 0.0 4.6
Unknown 0.4 0.4 0.0 0.0 0.0 0.8 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Total sectors 29.2 14.7 52.7 2.7 0.8 100.0 42.6 36.7 12.7 4.8 3.1 0.0 100.0
Spain BES 5.3 6.0 10.9 1.3 0.0 23.6 18.5 13.8 5.1 0.8 0.0 0.0 38.2
GOV 1.8 16.9 10.6 2.5 0.0 31.9 8.1 21.7 2.3 0.6 0.0 0.0 32.8
HES 2.7 8.4 22.0 1.4 0.0 34.6 6.0 11.8 4.6 1.3 0.0 0.0 23.8
PNP 1.2 3.8 3.4 1.5 0.0 9.9 1.7 2.1 0.7 0.8 0.0 0.0 5.2
Other educ. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Unknown 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Total sectors 11.1 35.2 47.0 6.8 0.0 100.0 34.4 49.4 12.7 3.5 0.0 0.0 100.0

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Previous
sector:
Business
enterprises
Government
Higher
education
Private
non-profit
Unknown Total
Business
enterprises
Government
Higher
education
Private
non-profit
other
education
Unknown Total
Turkey BES 3.8 0.7 14.4 0.0 0.0 18.9 19.7 3.8 6.0 0.4 0.5 0.0 30.3
GOV 1.7 4.9 23.9 0.1 0.0 30.7 17.5 14.4 9.3 0.1 0.2 0.0 41.5
HES 1.9 2.2 38.0 0.0 0.0 42.2 4.9 5.2 13.9 0.2 0.3 0.0 24.5
PNP 0.0 0.0 0.6 0.0 0.0 0.6 0.4 0.5 1.0 0.0 0.3 0.0 2.2
Other educ. 0.1 0.7 6.8 0.0 0.0 7.6 0.9 0.0 0.4 0.2 0.0 0.0 1.5
Unknown 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Total sectors 7.4 8.6 83.8 0.1 0.0 100.0 43.3 23.9 30.6 0.9 1.2 0.0 100.0
Notes:
*For Belgium and the Russian Federation, data for the 65-69 age class include doctorate holders aged 70 years and above.
*For Romania, unemployed and inactive doctorate holders are underestimated.

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Annex table 4. Ten top destination countries of national citizens with a doctorate having lived/stayed abroad in the past ten years, 2009
Belgium Bulgaria Croatia Hungary Israel Lithuania Latvia
1 USA DEU USA USA USA USA USA
2 FRA USA DEU DEU GBR SWE DEU
3 GBR FRA ITA GBR FRA DEU SWE
4 NLD GBR AUT FRA CAN BEL FRA
5 DEU AUT GBR NLD AUS POL GBR
6 CAN GRC FRA AUT ITA GBR JPN
7 CHE BEL CHE CHE DEU FIN EST
8 AUS ESP AUS ITA CHE DNK AUT
9 ITA RUS ISR BEL NLD LVA BEL
10 ESP ITA RUS CAN RUS CZE ESP
Malta Netherlands Poland Portugal Romania Slovenia Sweden
1 GBR USA DEU GBR FRA USA USA
2 ITA GBR USA USA DEU DEU GBR
3 USA DEU GBR ESP USA GBR DNK
4 DEU AUS ITA FRA ITA ITA NOR
5 CAN BEL FRA DEU GBR AUT DEU
6 BEL CAN SWE NLD BEL FRA RUS
7 AUS CHE BEL ITA ESP CHE FRA
8 FRA FRA CAN CHE JPN NLD IRQ
9 NLD ITA JPN BRA CHE ESP CHE
10 CHE SWE AUT SWE NLD BEL FIN
Notes:
*Data for Belgium, Hungary and the Netherlands refer to graduation years 1990 onwards.
*For Sweden, the population includes employed doctorate holders only.

DSTI/DOC(2013)4
59
Annex table 5. Reasons given by national citizens with a doctorate for returning to the home country, 2009
Reference
year
Completion
of
doctorate
End of
postdoc or job
contract
abroad
Other job
related or
economic
factors
Academic
factors
Family or
personal
reasons
Political or
other reason
Unspecified Total
Belgium 2009 5.2 16.6 24.7 19.3 33.6 0.6 .. 100.0
Bulgaria 2009 7.9 0.0 24.1 58.7 6.9 1.7 0.8 100.0
Croatia 2009 20.7 3.6 18.3 26.7 30.7 .. .. 100.0
Hungary 2009 12.7 2.1 34.4 39.0 9.9 1.0 0.8 100.0
Israel 2009 5.5 1.0 24.3 55.7 12.0 0.0 1.5 100.0
Latvia 2009 8.0 32.8 22.4 11.0 24.7 1.0 .. 100.0
Lithuania 2009 12.7 1.7 40.9 37.0 6.6 1.2 .. 100.0
Malta 2009 34.9 4.6 22.0 5.5 32.1 0.9 .. 100.0
Netherlands 2009 8.1 14.9 28.5 25.7 22.2 0.6 .. 100.0
Portugal 2009 18.0 3.0 24.9 39.1 13.4 1.5 .. 100.0
Romania 2008 23.6 15.8 21.3 14.1 23.4 1.8 .. 100.0
Spain 2009 11.1 15.1 21.8 13.2 27.9 10.9 .. 100.0
Turkey 2009 11.6 10.6 8.8 26.1 14.6 7.5 20.8 100.0
Notes:

DSTI/DOC(2013)4
60
Annex table 6. Reasons given by national citizens with a doctorate for intended mobility abroad, 2009
Reference
year
Completion
of doctorate
End of
postdoc or job
contract
abroad
Other job
related or
economic
factors
Academic
factors
Family or
personal
reasons
Political or
other
reason
Unspecified Total
Belgium 2009 1.0 11.1 35.2 38.0 13.4 1.3 0.0 100.0
Bulgaria 2009 0.1 1.7 34.9 37.3 18.0 6.8 1.1 100.0
Hungary 2009 3.9 0.0 36.4 45.3 11.8 1.3 1.3 100.0
Latvia 2009 0.0 10.7 39.5 28.2 21.7 0.0 0.0 100.0
Lithuania 2009 3.6 1.1 47.3 33.7 13.8 0.5 0.0 100.0
Malta 2009 0.0 0.0 34.5 46.6 19.0 0.0 0.0 100.0
Netherlands 2009 0.0 10.5 31.6 42.1 15.8 0.0 0.0 100.0
Portugal 2009 0.3 6.3 19.1 64.1 9.8 0.4 0.0 100.0
Romania 2008 4.2 2.4 34.2 36.9 19.7 2.7 0.0 100.0
Spain 2009 0.0 10.0 16.0 54.1 9.3 10.6 0.0 100.0
Turkey 2009 0.0 8.6 11.6 57.1 13.3 9.4 0.0 100.0
Notes:
*For Belgium, data for the 65-69 age class include doctorate holders aged 70 years and above.

DSTI/DOC(2013)4
61
Annex table 7. Number of foreign born doctorate holders residing in the United States by country of birth and
citizenship, 2000 Census and 2005-2009 American Community Survey
2000 Census
American Community
Survey (2005-2009
average)
Country of birth
Number of
foreign born
of which:
with US
citizenship
Number of
foreign born
of which:
with US
citizenship
Argentina 3896 2068 5950 2628
Australia 3201 726 4233 1507
Austria 3119 1980 3243 1948
Belgium 1569 651 2514 996
Brazil 3105 900 4730 1334
Bulgaria 1543 335 1905 791
Canada 19485 9355 24660 11843
Chile 1608 855 1817 1093
China 63283 25143 97891 39937
Croatia 753 448 899 493
Czech Republic .. .. 1331 611
Denmark 860 282 1357 425
Estonia 346 264 242 208
Finland 745 173 875 304
Former
Czechoslovakia 2696 1799 3021 1718
France 7935 2801 10752 4104
Germany 22333 11208 26829 13589
Greece 3772 2177 4812 3164
Hungary 3395 2516 3263 2227
Iceland 226 89 365 128
India 46886 21201 63964 34817
Indonesia 1094 661 1369 794
Ireland 2535 1305 2821 1501
Israel 4220 2766 5686 3327
Italy 7061 3801 8309 3964
Japan 8835 2591 11616 4103
Latvia 746 642 777 711
Lithuania 677 418 1178 667
Mexico 8812 3707 11924 5761
Netherlands 3814 1637 3849 1572
New Zealand 1080 316 1421 636
Norway 846 388 833 294
Poland 7008 4509 7776 5283
Portugal 677 361 902 507
Romania 3045 1747 5342 2804
Russia 13124 4734 17763 10298
Slovak Republic .. .. 668 179
Slovenia .. .. 1604 894
South Africa 2202 1228 3452 1922
South Korea 16634 7159 28796 ..
Spain 3766 1032 5054 1870
Sweden 1803 655 2104 819
Switzerland 2578 1074 2723 1293
Chinese Taipei 18915 12525 22155 16581
Turkey 3273 1650 5849 3002
United Kingdom 23652 9717 28122 12545
Total above 327153 149594 444747 204402
Grand total 442323 600813

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