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Spillover Effects of Old-Age Pension across Generations: Family Labor Supply and Child Outcomes. (2022). Ye, Han ; Kaufmann, Katja ; Ozdemir, Yasemin.
In: CESifo Working Paper Series.
RePEc:ces:ceswps:_9813.

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  1. The Multigenerational Impact of Children and Childcare Policies. (2023). Staubli, Stefan ; Laliberté, Jean-William ; Karademir, Sencer ; Laliberte, Jean-William.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp15894.

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  15. (2018) procedure). Columns 4 and 5 show local linear regressions with a bandwidth of 6 and 12 months, respectively. Sample means at the cutoff (measured in the three months before the cutoff) are reported in Column 6. All outcomes are measured when the grandmothers are between ages 60 and 64. Robust standard errors clustered at grandmothers’ level are in parentheses. *** p<0.01, ** p<0.05, * p<0.1. Source: Authors’ calculations from the CBS data.
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  16. (a) Total hours worked by grandmothers (first-stage) (b) Total hours worked by mothers (reduced-form) Notes: Panel (a) of Figure 1 shows the scatter bin plot of grandmother’s total monthly hours worked as a function of distance to the cutoff, which is grandmothers’ birth month being January 1950. Panel (b) of Figure 1 shows the scatter bin plots of mother’s labor supply as a function of distance to the cutoff, which is grandmothers’ birth month being January 1950. The solid lines are the linear fitted lines. The shaded areas indicate the 95 percent confidence interval.
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  17. 4According to the overview of teaching hours on the official Dutch government website, which provides information on Dutch central government policy, pupils must be taught at least 3,520 hours in the first four school years (lower secondary) compared to 3,760 hours in the last four school years (senior years). availability does not represent a constraint for us, since our main sample period is between 2009 and 2015, when the grandparents born around January 1950 were between ages 60 and 64.
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  21. All individuals in our sample were eligible to participate in the life course savings program, which means both the grandmothers born before 1950 and since 1950 can use this new tax-facilitated saving scheme. However, individuals who were at least 50 years old but not yet 55 on 1 January 2005 (born since 1950) could save more than 12% per year. The policy intention was to provide a slight advantage for people aged 50 to 55 in 2005 to save quicker. This favorable treatment might wane the reform-induced rise in grandmother’s labor supply because it was perceived as a way out of the labor market for the ones affected by the 2006 reform. However, we are not worried about the LCS plan as a confounding factor. First, both treated and control can use this new tax-facilitated saving scheme. If anything, the availability of the LCS plan makes our first stage estimates smaller. Moreover, in practice, only some high-wage workers manage to retire early using the LCS plan.
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  68. For details see: Official documentation of vslgwbtab secmbus This file contains monthly data on the socioeconomic category (SECM) of individuals registered since 1 January 1995. Information on separate sources of income, on which the SECM definition is based, is indicated for each relevant period. Also, the file indicates whether a person was registered as a student in the given month.
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  79. Impact of GM’s total monthly hours worked on mothers’ labor supply Total monthly hours worked 1-0.645** [0.285] 7.252 20711 2-0.822** [0.404] 9.986 26221 Other labor supply measures: Prob (Employed) 1-0.004* [0.002] 7.698 20711 2-0.004* [0.003] 10.942 29142 Prob (Full-time employed) 1-0.002 [0.001] 8.780 23497 2-0.002 [0.002] 10.091 29142 Average of optimal BW 9.1248 Average of optimal BW (linear) 7.9099 Average of optimal BW (quadratic) 10.3398 Notes: Table A11 shows the 2SLS estimates of grandmothers’ total monthly hours worked on mothers’ labor supply outcomes using the mean square error optimal bandwidths generated by the Calonico et al. (2017) and Calonico et al. (2018) procedure (the CCT bandwidths). The optimal bandwidths are generated separately for each outcome. Standard errors are in parentheses. *** p<0.01, ** p<0.05, * p<0.1. Source: Authors’ calculations from the CBS data.
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  93. of service (Bovenberg and Gradus, 2015). Retirement before the statutory AOW claiming age is only possible through the occupational pensions, which have sectoral early pension schemes as part of the collective agreements. During our sample period, the earliest possible ages to claim the occupational pensions are between ages 55 and 60, depending on their occupational group. The third pillar consists of non-mandatory savings. It is relatively small in the Netherlands and provides around 5% of pension income.
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  98. Since 2014/15 schools could choose between three compulsory final tests, of which the test designed by Cito on behalf of the Board for Tests and Exams is included in our data. The data includes information on the test results including seperate components (such as points on the verbal and mathematical part). For details see: Official documentation of CITOtab kinderopvang In each year, we observe information on the type and number of childcare hours in a reporting year for each child that used childcare under the Childcare Act. For details see: Official documentation of kinderopvang LISS panel The LISS panel is an online household panel. The panel consists of some 5000 households in the Netherlands, comprising approximately 7500 individuals over the age of 16. The panel is based on a true probability sample of households drawn from the population register by Statistics Netherlands.
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  101. Table A11 displays the estimated impacts and bandwidth for all relevant outcomes using the mean square error optimal bandwidths generated by the Calonico et al. (2017) and Calonico et al.
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  102. Table A13: Impacts on sub-sample selection RD estimates Mean at (1) (2) cutoff Sub-sample selection criteria Restrictions by age of youngest child Youngest aged 0-3-0.008-0.029* 0.647 [0.010] [0.017] [0.478] Youngest aged 4-7-0.002 0.003 0.525 [0.011] [0.018] [0.499] Youngest aged 8-12-0.003 0.016 0.293 [0.010] [0.016] [0.455] Youngest aged 13-18-0.006 0.000 0.130 [0.007] [0.012] [0.336] Obs. Mothers 39293 39293 6663 Obs. Grandmothers 29921 29921 Polynomial linear quadratic Note: Table A13 tests the impact of grandmothers being born since January 1950 on a list of sub-sample selection variables. All regressions are based on the sample selected after completing Steps 1 to 4 displayed in Table A12.Columns 1 and 2 show results based on local linear and quadratic regressions with a bandwidth of 8 months, respectively. Robust standard errors clustered at grandmother’s level are in parentheses. *** p<0.01, ** p<0.05, * p<0.1. Source: Authors’ calculations from the CBS data.
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  103. Table A15 reports the estimated impact of a grandmother being treated (i.e. born since January 1950) on a list of predetermined characteristics of the Cito-sample. We show results using a linear and quadratic specification with a bandwidth of 8 months around the cutoff. All covariants are smooth, so that treated and non-treated grandchildren are comparable in terms of children’s covariates, such as, among other things, birth year and month, gender, birth order, and family situation.
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  104. The 2006 reform reduced pension replacement rates between age 60 and 64 from 70% to 64% (Lindeboom and Montizaan (2020) Table A.1). For a typical woman with average labor earnings of 727 euro and an average pension claim duration of 17 years,5 we calculate that the government saves about 8900 euro per person. The behavioral costs consist of the direct impact on grandmothers and the indirect spillover effects on mothers. First, we calculate the net cost of the pension reform from the direct impact on grandmothers. The reduced form estimates show that grandmothers earn 106 euros more per month between age 60 and 64 (Table A2). Average monthly labor earnings around the cutoff are 727 euros. Using the Dutch Income Tax Calculator, we find that the government increases the amount of taxes raised by 484 euro per person during those four years.
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  105. The reform bill no. 29760 includes a clause to adjust fiscal policy VUT and prepension (Wet voor aanpassing fiscal behandeling VUT and pre-pension) and is sometimes referred to as the 56-plus scheme (de 56-plusregeling). People, who were 55 years or older before January 1, 2005 are not affected by the reform.
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  106. The second pillar, the occupational pensions, which we focus on in our analysis, are collective pension schemes connected to a specific industry or company, capital-funded, and managed by pension funds. The majority of these schemes are of the defined benefit type. Contribution to the second pillar is mandatory, and more than 90 percent of the workers in the Netherlands contribute to a collective pension fund via their employer. The contribution rate is 14% of gross wages, of which 70% is contributed by the employers and 30% by the employees. These schemes typically aim at a replacement rate of about 80% (including the AOW benefits) of average pay after 40 years 1Since 2012, the state pension claiming age was set to gradually increase, reaching 66 in 2018 and 67 in 2021. For our baseline sample of grandmothers, their state pension claiming ages are between 65 and 2 months and 65 and 3 months.
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  107. The second-stage reduced form impacts of grandmothers being born since January 1950 are reported in the table. All specifications use local linear regression with a bandwidth of 8 months including controls and sector fixed effect. Robust standard errors clustered at grandmother’s level are in parentheses. *** p<0.01, ** p<0.05, * p<0.1.. Source: Authors’ calculations from the CBS data.
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  108. Zhang, Jing, Simon Appleton, Lina Song, and Bing Liu, “Who looks after the kids? the effects of childcare choice on early childhood development in China,” Oxford Bulletin of Economics and Statistics, 2021, 83 (3), 619–640.

Cocites

Documents in RePEc which have cited the same bibliography

  1. Beauty, Job Tasks, and Wages: A New Conclusion About Employer Taste-Based Discrimination. (2017). Sullivan, Paul ; Stinebrickner, Ralph.
    In: University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers.
    RePEc:uwo:hcuwoc:20175.

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  2. Careers and Mismatch for College Graduates: College and Non-college Jobs. (2017). Stinebrickner, Ralph ; Robinson, Chris ; Agopsowicz, Andrew .
    In: University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers.
    RePEc:uwo:hcuwoc:20174.

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  3. Performance Pay, the Gender Gap, and Specialization within Marriage. (2017). Parent, Daniel ; Heywood, John.
    In: Journal of Labor Research.
    RePEc:spr:jlabre:v:38:y:2017:i:4:d:10.1007_s12122-017-9256-5.

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  4. Allocating Effort and Talent in Professional Labor Markets. (2017). Barlevy, Gadi ; Neal, Derek.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:23824.

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  5. Parenthood and productivity of highly skilled labor: Evidence from the groves of academe. (2017). Zimmermann, Christian ; Krapf, Matthias ; Ursprung, Heinrich W.
    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:140:y:2017:i:c:p:147-175.

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  6. The Evolution of Gender Gaps in Industrialized Countries. (2016). Petrongolo, Barbara ; Olivetti, Claudia.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:21887.

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  7. Path-Breakers: How Does Women’s Political Participation Respond to Electoral Success?. (2016). Iyer, Lakshmi ; Clots-Figueras, Irma ; Bhalotra, Sonia.
    In: Harvard Business School Working Papers.
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  8. Anti-discrimination Legislation and the Efficiency-Enhancing Role of Mandatory Parental Leave. (2016). Micheletto, Luca ; Bastani, Spencer ; Blumkin, Tomer.
    In: Working Papers.
    RePEc:don:donwpa:088.

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  9. Gender gaps in performance: Evidence from young lawyers. (2015). Ferrer, Rosa ; Azmat, Ghazala ; Zarzuela, Rosa Ferrer .
    In: Economics Working Papers.
    RePEc:upf:upfgen:1300.

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  10. A tradable employment quota. (2015). Pichler, Stefan ; Neugart, Michael ; Akyol, Metin.
    In: Labour Economics.
    RePEc:eee:labeco:v:36:y:2015:i:c:p:48-63.

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  11. Gender Gaps in Performance: Evidence from Young Lawyers. (2015). Ferrer, Rosa ; Azmat, Ghazala.
    In: Working Papers.
    RePEc:bge:wpaper:604.

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  12. The Impact of Gender Composition on Team Performance and Decision-Making: Evidence from the Field. (2015). Iriberri, Nagore ; Azmat, Ghazala ; Apesteguia, Jose.
    In: Working Papers.
    RePEc:bge:wpaper:485.

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  13. Educational Assortative Mating and Household Income Inequality. (2014). Zafar, Basit ; Mogstad, Magne ; Eika, Lasse.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:20271.

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  14. Breaking the Glass Ceiling? The Effect of Board Quotas on Female Labor Market Outcomes in Norway. (2014). Lleras-Muney, Adriana ; Jensen, Sissel ; Black, Sandra ; Bertrand, Marianne.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:20256.

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  15. Work-family attitudes and career interruptions due to childbirth. (2014). Rahim, Fazeer .
    In: Review of Economics of the Household.
    RePEc:kap:reveho:v:12:y:2014:i:1:p:177-205.

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  16. Breaking the Glass Ceiling? The Effect of Board Quotas on Female Labor Market Outcomes in Norway. (2014). Lleras-Muney, Adriana ; Jensen, Sissel ; Black, Sandra ; Bertrand, Marianne.
    In: IZA Discussion Papers.
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  17. Labor Market Deregulation and Female Employment: Evidence from a Natural Experiment in Japan. (2014). Kodama, Naomi ; Kato, Takao.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp8189.

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  18. Are All of the Good Men Fathers? The Effect of Having Children on Earnings. (2014). Kunze, Astrid.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp8113.

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  19. The hidden winners of renewable energy promotion : insights into sector-specific wage differentials. (2014). Janser, Markus ; Antoni, Manfred ; Lehmer, Florian.
    In: IAB-Discussion Paper.
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  20. Are all of the good men fathers? The effect of having children on earnings.. (2014). Kunze, Astrid.
    In: Discussion Paper Series in Economics.
    RePEc:hhs:nhheco:2014_011.

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  21. Laws, attitudes and financial inclusion of women: A cross-country investigation. (2014). Chakraborty, Suparna.
    In: Economics Bulletin.
    RePEc:ebl:ecbull:eb-13-00667.

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  22. College Major Choice and the Gender Gap. (2013). Zafar, Basit.
    In: Journal of Human Resources.
    RePEc:uwp:jhriss:v:48:y:2013:iii:1:p:545-595.

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  23. Opting for families: recent trends in the fertility of highly educated women. (2013). Weinberg, Bruce ; Shang, Qingyan .
    In: Journal of Population Economics.
    RePEc:spr:jopoec:v:26:y:2013:i:1:p:5-32.

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  24. Opting out among women with elite education. (2013). Hersch, Joni.
    In: Review of Economics of the Household.
    RePEc:kap:reveho:v:11:y:2013:i:4:p:469-506.

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  25. How competitive are female professionals? A tale of identity conflict. (2013). Servátka, Maroš ; Cadsby, Charles ; Song, Fei.
    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:92:y:2013:i:c:p:284-303.

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  26. Brauchen wir eine gesetzliche Frauenquote?. (2013). Fichtl, Anita ; Bauernschuster, Stefan.
    In: ifo Schnelldienst.
    RePEc:ces:ifosdt:v:66:y:2013:i:02:p:39-48.

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  27. Gender Quotas on Boardroom Representation in Europe. (2013). Fichtl, Anita.
    In: ifo DICE Report.
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  28. Exploration for human capital: Theory and evidence from the MBA labor market. (2012). Oyer, Paul ; Kuhnen, Camelia.
    In: MPRA Paper.
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  29. First job experiences of Colombian college graduates: probability of formal employment and wages. (2012). Barón, Juan ; Baron, Juan.
    In: Lecturas de Economía.
    RePEc:lde:journl:y:2012:i:76:p:55-86.

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  30. Gender Gaps in Spain: Family Issues and the Career Development of College Educated Men and Women. (2012). De La Rica, Sara.
    In: IZA Discussion Papers.
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  31. When Performance Trumps Gender Bias: Joint Versus Separate Evaluation. (2012). Bazerman, Max H. ; Bohnet, Iris ; Van Geen, Alexandra Vivien .
    In: Scholarly Articles.
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  32. Labour Supply Responses to Paid Parental Leave. (2012). Skogman Thoursie, Peter ; Karimi, Arizo ; Lindahl, Erica.
    In: Working Paper Series, Center for Labor Studies.
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  33. Labour supply responses to paid parental leave. (2012). Skogman Thoursie, Peter ; Karimi, Arizo ; Lindahl, Erica.
    In: Working Paper Series.
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  34. The Career Costs of Children. (2012). Stevens, Katrien ; Dustmann, Christian ; Adda, Jerome.
    In: Economics Working Papers.
    RePEc:eui:euiwps:eco2012/01.

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  35. When should I quit? Gender differences in exiting competitions. (2012). Trujillo, Carlos ; Hogarth, Robin ; Karelaia, Natalia.
    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:83:y:2012:i:1:p:136-150.

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  36. When Performance Trumps Gender Bias: Joint versus Separate Evaluation. (2012). Bohnet, Iris ; Bazerman, Max H. ; van Geen, Alexandra.
    In: Working Paper Series.
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  37. The Economic Consequences of ‘Brain Drain’ of the Best and Brightest: Microeconomic Evidence from Five Countries. (2012). McKenzie, David ; Gibson, John.
    In: Economic Journal.
    RePEc:ecj:econjl:v:122:y:2012:i:560:p:339-375.

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  38. Gender Gaps in Performance: Evidence from Young Lawyers. (2012). Ferrer, Rosa ; Azmat, Ghazala.
    In: CEP Discussion Papers.
    RePEc:cep:cepdps:dp1136.

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  39. Work and Family : Latin American and Caribbean Women in Search of a New Balance. (2011). Bank, World.
    In: World Bank Publications - Reports.
    RePEc:wbk:wboper:12489.

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  40. The Labor Market in the Seventeenth-Century Italian Art Sector. (2011). Pagani, Laura ; Marchesi, Silvia ; Etro, Federico.
    In: Working Papers.
    RePEc:ven:wpaper:2011_23.

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  41. The Career Costs of Children. (2011). Stevens, Katrien ; Dustmann, Christian ; Adda, Jerome.
    In: Working Papers.
    RePEc:syd:wpaper:2123/8068.

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  42. The Feasibility and Importance of Adding Measures of Actual Experience to Cross-Sectional Data Collection. (2011). Kahn, Lawrence ; Blau, Francine.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:17241.

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  43. The Labor Market in the Seventeenth-Century Italian Art Sector. (2011). Pagani, Laura ; Marchesi, Silvia ; Etro, Federico.
    In: Working Papers.
    RePEc:mib:wpaper:215.

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  44. Why Are So Few Females Promoted into CEO and Vice-President Positions? Danish Empirical Evidence 1997-2007. (2011). Verner, Mette ; Smith, Valdemar.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp5961.

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  45. The Feasibility and Importance of Adding Measures of Actual Experience to Cross-Sectional Data Collection. (2011). Kahn, Lawrence ; Blau, Francine.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp5873.

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  46. Manager impartiality? Worker-firm matching and the gender wage gap. (2011). Hensvik, Lena.
    In: Working Paper Series.
    RePEc:hhs:ifauwp:2011_022.

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  47. The effect of ethics on labor market success: Evidence from MBAs. (2011). Hussey, Andrew.
    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:80:y:2011:i:1:p:168-180.

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  48. If You’re So Smart, Why Aren’t You the Boss? Explaining the Persistent Vertical Gender Gap in Management. (2011). Beresford, Lauren S. ; Haveman, Heather A..
    In: Institute for Research on Labor and Employment, Working Paper Series.
    RePEc:cdl:indrel:qt1xf2r797.

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  49. Gender Interactions within Hierarchies: Evidence from the Political Arena. (2011). Paserman, M. Daniele ; Gagliarducci, Stefano.
    In: Boston University - Department of Economics - Working Papers Series.
    RePEc:bos:wpaper:wp2011-048.

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  50. Primeras experiencias laborales de los profesionales colombianos: Probabilidad de empleo formal y salarios. (2010). Barón, Juan.
    In: Documentos de Trabajo Sobre Economía Regional y Urbana.
    RePEc:col:000102:007625.

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