Indices of Social Development Open Data for Development Camp 13 May 2011 Ellen Webbink  webbink@iss.nl/ isd@iss.nl Irene van Staveren Arjan de Haan Roberto Foa
Contents Why social development indices ?  IndSocDev.org  – a demonstration  How the indices are composed Examples of applications Questions and comments
Why does social development matter?  Social development is  about  putting people at the centre of development  1995 Copenhagen Summit Social development much more than health, education child welfare -> glue that keeps society together  “ behaviours, norms, conventions that pattern human interaction” (thus also: structures markets and governance)
Why should we measure it ?  Social development usually terrain of more qualitative methods and disciplines  Measurements of development have been broadening: steel, GDP, HDI, Governance, happiness  IndSocDev = last mile in this sequence  The promise: - systematise and compare different aspects of social development  - relate those to other development  outcomes  - trends over time
What did we decide to measure  Design on basis of iterative process of expert discussions + comparison with available data  IndSocDev focus on  five  aspects (indices) of social development, based on: 200 indicators from 25 reputable and independent data sources, aggregated into Indices using ‘matching percentiles’
Matching percentiles &  how we cover 200 countries Combining sources more reliable than single source (minimum 3 sources) Many indicators limited coverage  between 15 and 200 Aggregating and comparing allows to enhance coverage – details explained later Progressively more reliable
Civic activism : social norms, organisations, practices which facilitate citizen involvement in public policies and decisions Examples of questions % people participated in demonstration, petition, boycott % people with access to radio, TV, newspaper Density international organisations Civicus civil society rating … .. related sources World Values Survey, regional barometers barometers  / ITU Global Civil Society Civicus
For example: Civic Activism Scores for Middle East and North Africa
2) Clubs and associations:  strength of ties to neighbourhood and associational life  (voluntary groups, time with clubs, community meets, development associations)   Examples of questions % people using free time for groups and associations % people members of clubs Spent time socialising % people state people ‘generally help one another’ … .. related sources Latinobarometer, WVS barometers, WVS,  World Values Survey ICVS
3) Inter-group cohesion:  relations of cooperation and respect between predominant identity groups in a society Examples of questions Incidences of riots, terrorist acts Levels ethnic/religious tension Group disparities and discrimination Proportion people who reject others as neighbours … .. related sources Databanks, EIU  ICRG Minorities at Risk, Fund for Peace World Values Survey
4) Interpersonal safety and trust:   extent that individuals feel they can rely on people they have not met before Examples of questions % people experienced theft, robbery etc. % people that feel safe Perception people can be trusted, are fair Crime as business constraint … .. related sources Afrobarometer, ICVS, Interpol ICVS Barometers, World Value Survey World Development Indicators
5) Gender equality:  extent to which women face the same opportunities and constraints with family, work, society Examples of questions Perceptions equality of rights and opportunities Rating economic rights Ratio of women in education, labour force Wage rates … .. related sources barometers,  WVS CIRI  WDI  ILO
www.IndSocDev.org  how does it work ?
 
 
 
 
 
 
IndSocDev matching percentiles
Methodology ISD combines over 200 indicators from 25 independent and reputable sources  Uses ‘matching percentiles’ method used for Corruptions Perceptions Index Lambsdorff 1999 www.transparency.org/policy_research/surveys_indices/cpi/2010/in_detail#4 Rationale for matching percentiles Combination of sources measuring same phenomenon more reliable than each source separately Indices broaden the coverage compared to single source Minimum 3 independent sources to develop index Note:  2010 data reported but is still incomplete
Matching percentiles – Step 1 If multiple questions in one source, average is calculated e.g., access to radio, TV, newspapers ISD uses rankings – not all sources use these, most use regular scores  e.g., % people responding  Produce a rank from the scores: 0 – 1 (standardization) For example, 1 st  indicator Civic Activism: participation in demonstrations
Step 1:Standardising  % of people participated in demonstrations (World Values Survey) Botswana 28 % Nigeria 25 % Tanzania 10%  Burundi 3 % Congo 2 %  Botswana Nigeria Tanzania Burundi Congo, DR Other countries 0.24 0.22 0.08 0.05 0.04 participation in demonstrations, petitions, boycotts - Rank 1 2 3 4 5
Step 2  2nd source: s cores from second indicator (from different source) matched to first (‘master’) indicator based on  ranking  of shared countries in the master indicator Each additional indicator adjusts the ranking in order to reduce the uncertainty of the earlier rankings: with more indicators you simply broaden the basis of measurement of the index For example, an additional indicator could be:  “ attending meetings”
Matching Equally Ranked Values Botswana Nigeria Tanzania Burundi Congo, DR Other countries 0.24 0.22 0.08 0.05 0.04 Botswana Tanzania Nigeria Burundi Congo, DR 0.24 0.22 0.08 0.05 0.04 %  respondent participation in demonstrations, petitions, boycotts (WVS) Respondent has often attended meetings of a local development association (Afrobarometer)
Step 3: averaging matching scores to obtain index Var1 Var2 Matching Score Var3 Matching Score Var4 Matching Score Index Botswana 0.24 0.4 0.22 0.4 0.05 0.5 0.24 0.170 Nigeria 0.22 0.5 0.24 0.5 0.08 0.4 0.22 0.180 Tanzania 0.08 0.3 0.08 0.6 0.22 0.3 0.08 0.127 Burundi 0.05 0.2 0.05 0.7 0.24 N.A 0.145 Congo, DR 0.04 0.1 0.04 N.A. N.A N.A
Etcetera ….  We repeat the same procedure with different choice of master variable ( random  score 0 – 1) 1,000 times (“bootstrapping”) Reducing random error with each iteration To arrive at a final score for the index with a standard error obtained from the reiterations Index score for a country is only produced if at least 3 independent sources for that country are available
Which in example produces:  2005 data (real data)
How do we know we can trust matching percentiles ? robustness
Comparison of Matching Percentiles vs. Imputation Methods Civic Activism
Factor analysis civic activism
IndSocDev examples of applications
Trends Over Time Rising Gender Equality in the Middle East, 1990-2007
Mapping gender equality  in Africa Levels of gender equality in  Southern  and  Eastern  Africa are higher than their GDP would lead us to expect.
Gender Equality in Africa
Interpersonal Safety and Trust  –   Latin America and Caribbean
Residual Scatter Plot between gender equity and infant mortality, after controlling for: log GDP/capita, log GDP/capita 2 , female progression to secondary school (%), civic engagement, governance (Voice and Accountability), HIV-AIDS infection rate p = 0.000*** Gender Equality and Infant Mortality
Partial Correlation (Residual Plot) between Intergroup Cohesion and (log) rate of deaths from natural disasters.
Thank you !   Do let us know what you think www.IndSocDev.org

More Related Content

PPT
eGender: Gill Kirkup: Viewing the elearning landscape through the lens of gender
PDF
Online Mutual Aid Group Activity in the UK
PPTX
Digital data for migration research
PDF
Gender Lens Infographic- FINAL
PPTX
Affirmatively Furthering Fair Housing: What Can Cities Do? - Neighborhood Par...
PPTX
Randomised control trials: lessons for Civic Tech - Andrew Westbury (Center f...
PPT
Text Messaging Field Experiment (RootsCampDC 12/06)
PPTX
Civics 2.0
eGender: Gill Kirkup: Viewing the elearning landscape through the lens of gender
Online Mutual Aid Group Activity in the UK
Digital data for migration research
Gender Lens Infographic- FINAL
Affirmatively Furthering Fair Housing: What Can Cities Do? - Neighborhood Par...
Randomised control trials: lessons for Civic Tech - Andrew Westbury (Center f...
Text Messaging Field Experiment (RootsCampDC 12/06)
Civics 2.0

What's hot (14)

PDF
The partnership of free speech & good governance in Africa
PPT
Building Communities of Opportunity in Massachusetts
PPTX
M&E Indicators for Trafficking in Persons: A perspective on gender and health
PPTX
Social Progress Index 2014 - Country Scorecards
PPT
An Overview of The Moving to Opportunity (MTO) Experiment
PPTX
PresentationTowards Perceiving and Resolving the Impediments to Reporting For...
PPTX
12 Network Experiments and Interventions: Studying Information Diffusion and ...
PPTX
Demographic Analysis 5.28.2013
PPTX
Understanding disparities using the American Community Survey - Sean Green, M...
PPTX
Using Advertising Platforms for Social Good
DOCX
Week 4
PPTX
AAPOR 2013 Langer Research: Bloomberg CCI
PPTX
World Internet Project Czech republic 2014 Preliminary data presentation
PPTX
Measuring Disparities in Child welfare
The partnership of free speech & good governance in Africa
Building Communities of Opportunity in Massachusetts
M&E Indicators for Trafficking in Persons: A perspective on gender and health
Social Progress Index 2014 - Country Scorecards
An Overview of The Moving to Opportunity (MTO) Experiment
PresentationTowards Perceiving and Resolving the Impediments to Reporting For...
12 Network Experiments and Interventions: Studying Information Diffusion and ...
Demographic Analysis 5.28.2013
Understanding disparities using the American Community Survey - Sean Green, M...
Using Advertising Platforms for Social Good
Week 4
AAPOR 2013 Langer Research: Bloomberg CCI
World Internet Project Czech republic 2014 Preliminary data presentation
Measuring Disparities in Child welfare
Ad

Similar to Indices of Social Development - Ellen Webbink - IndSocDev (20)

PPT
Cmss Vi Nations Units Analysis
PDF
IPC IG Seminar- SAE : "Middle class values"
PDF
Social Progress Index 2014 Methodological Report
PDF
Tools for Measuring Corruption
PPT
Good society index v3 7sep10
PPT
Lesson2 I Development
PPT
Measuring and fostering the progress of societies
PDF
Training Workshop on Measurements and Analysis of Opinion Poll Data
PPT
Indicators Approach To Monitoring Huridocs
PPTX
A Critical Analysis of Development Indices
PPT
Compassion Action Index
PPTX
Seminar 2
PPT
Introductory_Statistics_Masters student (1).ppt
PPTX
Presentation of the Social Progress Index at "Development in the Nonprofit S...
PPTX
Bdgpart1
PDF
Democracy index 2018
PDF
Global peace index 2016 full report
PDF
«Глобальный индекс миролюбия» 2016
PPTX
Merrick cic gpp equity
PPT
A2development2112
Cmss Vi Nations Units Analysis
IPC IG Seminar- SAE : "Middle class values"
Social Progress Index 2014 Methodological Report
Tools for Measuring Corruption
Good society index v3 7sep10
Lesson2 I Development
Measuring and fostering the progress of societies
Training Workshop on Measurements and Analysis of Opinion Poll Data
Indicators Approach To Monitoring Huridocs
A Critical Analysis of Development Indices
Compassion Action Index
Seminar 2
Introductory_Statistics_Masters student (1).ppt
Presentation of the Social Progress Index at "Development in the Nonprofit S...
Bdgpart1
Democracy index 2018
Global peace index 2016 full report
«Глобальный индекс миролюбия» 2016
Merrick cic gpp equity
A2development2112
Ad

More from openforchange (18)

PDF
Emerginov - Arnaud Morin, Orange France
PPTX
Impact of Open Data Initiatives - Arjan El Fassad
PPT
Fairphone - Bibi Bleekemolen
PPTX
Data for Natural Disaster Coverage - Rina Tsubaki
PPTX
2013 Aid Transparency Tracker - Mark Brough, Publish What You Fund
PDF
New Frontiers of Open Development - Felipe Estefan, World Bank
PPSX
Open is a gateway drug - Liam Barrington Bush
PDF
Linked Data for Development - Victor de Boer & Christophe Guéret
PPTX
Cordaid Opening Up - Caroline Kroon
PPT
Making the United Nations more open and transparent - Thomas Melin
PPTX
Working with IATI - Mark Brough - Publish What you Fund
DOC
Speech Maarten Brouwer at Open Data for Development Camp, May 2011, Amsterdam
PDF
Open Data Opportunities in the Development Sector - Marijn Rijken - TNO
PPTX
Data journalism - Jelle Kamsma - NU.nl
PPS
Open Access and Search4Dev - Harry Heemskerk - KIT
PDF
Aid data Geocoding Presentation - Open Data for Development Camp
PPTX
Collecting Health Data in Africa - Peter Hessels - KIT
PPTX
Open for change
Emerginov - Arnaud Morin, Orange France
Impact of Open Data Initiatives - Arjan El Fassad
Fairphone - Bibi Bleekemolen
Data for Natural Disaster Coverage - Rina Tsubaki
2013 Aid Transparency Tracker - Mark Brough, Publish What You Fund
New Frontiers of Open Development - Felipe Estefan, World Bank
Open is a gateway drug - Liam Barrington Bush
Linked Data for Development - Victor de Boer & Christophe Guéret
Cordaid Opening Up - Caroline Kroon
Making the United Nations more open and transparent - Thomas Melin
Working with IATI - Mark Brough - Publish What you Fund
Speech Maarten Brouwer at Open Data for Development Camp, May 2011, Amsterdam
Open Data Opportunities in the Development Sector - Marijn Rijken - TNO
Data journalism - Jelle Kamsma - NU.nl
Open Access and Search4Dev - Harry Heemskerk - KIT
Aid data Geocoding Presentation - Open Data for Development Camp
Collecting Health Data in Africa - Peter Hessels - KIT
Open for change

Indices of Social Development - Ellen Webbink - IndSocDev

  • 1. Indices of Social Development Open Data for Development Camp 13 May 2011 Ellen Webbink webbink@iss.nl/ isd@iss.nl Irene van Staveren Arjan de Haan Roberto Foa
  • 2. Contents Why social development indices ? IndSocDev.org – a demonstration How the indices are composed Examples of applications Questions and comments
  • 3. Why does social development matter? Social development is about putting people at the centre of development 1995 Copenhagen Summit Social development much more than health, education child welfare -> glue that keeps society together “ behaviours, norms, conventions that pattern human interaction” (thus also: structures markets and governance)
  • 4. Why should we measure it ? Social development usually terrain of more qualitative methods and disciplines Measurements of development have been broadening: steel, GDP, HDI, Governance, happiness IndSocDev = last mile in this sequence The promise: - systematise and compare different aspects of social development - relate those to other development outcomes - trends over time
  • 5. What did we decide to measure Design on basis of iterative process of expert discussions + comparison with available data IndSocDev focus on five aspects (indices) of social development, based on: 200 indicators from 25 reputable and independent data sources, aggregated into Indices using ‘matching percentiles’
  • 6. Matching percentiles & how we cover 200 countries Combining sources more reliable than single source (minimum 3 sources) Many indicators limited coverage between 15 and 200 Aggregating and comparing allows to enhance coverage – details explained later Progressively more reliable
  • 7. Civic activism : social norms, organisations, practices which facilitate citizen involvement in public policies and decisions Examples of questions % people participated in demonstration, petition, boycott % people with access to radio, TV, newspaper Density international organisations Civicus civil society rating … .. related sources World Values Survey, regional barometers barometers / ITU Global Civil Society Civicus
  • 8. For example: Civic Activism Scores for Middle East and North Africa
  • 9. 2) Clubs and associations: strength of ties to neighbourhood and associational life (voluntary groups, time with clubs, community meets, development associations) Examples of questions % people using free time for groups and associations % people members of clubs Spent time socialising % people state people ‘generally help one another’ … .. related sources Latinobarometer, WVS barometers, WVS, World Values Survey ICVS
  • 10. 3) Inter-group cohesion: relations of cooperation and respect between predominant identity groups in a society Examples of questions Incidences of riots, terrorist acts Levels ethnic/religious tension Group disparities and discrimination Proportion people who reject others as neighbours … .. related sources Databanks, EIU ICRG Minorities at Risk, Fund for Peace World Values Survey
  • 11. 4) Interpersonal safety and trust: extent that individuals feel they can rely on people they have not met before Examples of questions % people experienced theft, robbery etc. % people that feel safe Perception people can be trusted, are fair Crime as business constraint … .. related sources Afrobarometer, ICVS, Interpol ICVS Barometers, World Value Survey World Development Indicators
  • 12. 5) Gender equality: extent to which women face the same opportunities and constraints with family, work, society Examples of questions Perceptions equality of rights and opportunities Rating economic rights Ratio of women in education, labour force Wage rates … .. related sources barometers, WVS CIRI WDI ILO
  • 13. www.IndSocDev.org how does it work ?
  • 14.  
  • 15.  
  • 16.  
  • 17.  
  • 18.  
  • 19.  
  • 21. Methodology ISD combines over 200 indicators from 25 independent and reputable sources Uses ‘matching percentiles’ method used for Corruptions Perceptions Index Lambsdorff 1999 www.transparency.org/policy_research/surveys_indices/cpi/2010/in_detail#4 Rationale for matching percentiles Combination of sources measuring same phenomenon more reliable than each source separately Indices broaden the coverage compared to single source Minimum 3 independent sources to develop index Note: 2010 data reported but is still incomplete
  • 22. Matching percentiles – Step 1 If multiple questions in one source, average is calculated e.g., access to radio, TV, newspapers ISD uses rankings – not all sources use these, most use regular scores e.g., % people responding Produce a rank from the scores: 0 – 1 (standardization) For example, 1 st indicator Civic Activism: participation in demonstrations
  • 23. Step 1:Standardising % of people participated in demonstrations (World Values Survey) Botswana 28 % Nigeria 25 % Tanzania 10% Burundi 3 % Congo 2 % Botswana Nigeria Tanzania Burundi Congo, DR Other countries 0.24 0.22 0.08 0.05 0.04 participation in demonstrations, petitions, boycotts - Rank 1 2 3 4 5
  • 24. Step 2 2nd source: s cores from second indicator (from different source) matched to first (‘master’) indicator based on ranking of shared countries in the master indicator Each additional indicator adjusts the ranking in order to reduce the uncertainty of the earlier rankings: with more indicators you simply broaden the basis of measurement of the index For example, an additional indicator could be: “ attending meetings”
  • 25. Matching Equally Ranked Values Botswana Nigeria Tanzania Burundi Congo, DR Other countries 0.24 0.22 0.08 0.05 0.04 Botswana Tanzania Nigeria Burundi Congo, DR 0.24 0.22 0.08 0.05 0.04 % respondent participation in demonstrations, petitions, boycotts (WVS) Respondent has often attended meetings of a local development association (Afrobarometer)
  • 26. Step 3: averaging matching scores to obtain index Var1 Var2 Matching Score Var3 Matching Score Var4 Matching Score Index Botswana 0.24 0.4 0.22 0.4 0.05 0.5 0.24 0.170 Nigeria 0.22 0.5 0.24 0.5 0.08 0.4 0.22 0.180 Tanzania 0.08 0.3 0.08 0.6 0.22 0.3 0.08 0.127 Burundi 0.05 0.2 0.05 0.7 0.24 N.A 0.145 Congo, DR 0.04 0.1 0.04 N.A. N.A N.A
  • 27. Etcetera …. We repeat the same procedure with different choice of master variable ( random score 0 – 1) 1,000 times (“bootstrapping”) Reducing random error with each iteration To arrive at a final score for the index with a standard error obtained from the reiterations Index score for a country is only produced if at least 3 independent sources for that country are available
  • 28. Which in example produces: 2005 data (real data)
  • 29. How do we know we can trust matching percentiles ? robustness
  • 30. Comparison of Matching Percentiles vs. Imputation Methods Civic Activism
  • 32. IndSocDev examples of applications
  • 33. Trends Over Time Rising Gender Equality in the Middle East, 1990-2007
  • 34. Mapping gender equality in Africa Levels of gender equality in Southern and Eastern Africa are higher than their GDP would lead us to expect.
  • 36. Interpersonal Safety and Trust – Latin America and Caribbean
  • 37. Residual Scatter Plot between gender equity and infant mortality, after controlling for: log GDP/capita, log GDP/capita 2 , female progression to secondary school (%), civic engagement, governance (Voice and Accountability), HIV-AIDS infection rate p = 0.000*** Gender Equality and Infant Mortality
  • 38. Partial Correlation (Residual Plot) between Intergroup Cohesion and (log) rate of deaths from natural disasters.
  • 39. Thank you ! Do let us know what you think www.IndSocDev.org

Editor's Notes

  • #21: We now provide some detail on the method of aggregation, the Matching Percentiles
  • #31: In the first place, we compared the outcome of matching percentiles with the much more laborious imputation method This produced very similar results, which we show here for the Index Civic Activism, and other Indices had similar results
  • #32: Secondly, factor analysis was deployed, to assess the appropriateness of the indices drawn a priori from the social development indicators database based on a purely statistical criterion Factor analysis reduces the number of variables on the basis of similarity. The factors extracted from the total set of social development indicators replicate to a remarkable degree the social development indices. In other words, our distinction between 5 indices is quite similar to the one that would result from a factor analysis in which all underlying indicators would be used: very similar indices would come out, here shown for civic activism
  • #34: First, we can show trends over time, for example shown here for positive changes of gender equity in the Middle East
  • #38: And similar for other indicators, such as infant mortality