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Assessment of labour market returns in the case of gender unique human capital

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  • Tiiu Paas
  • Maryna Tverdostup

Abstract

Maryna Tverdostup, Tiiu Paas, ERSA 2016: The paper focuses on the identification of the unique, non-reached by the opposite gender human capital and the analysis of its effect on the earning profiles of unique human capital holders. The overwhelming research aim is to better understand the possible reasons behind gender wage disparities, focusing on the unique features of male and female human capital and their returns. When assessing the gender pay disparities, variation of human capital characteristics across males and females is assumed to be one of the decisive factors of differences in the wage outcomes across gender groups. However, males and females may not only differ in the set of individual characteristics, but also the distributions of these variables can hardly overlap, inducing the issue which is commonly referred to as 'support problem?. Empirical part of the paper relies on the Survey of Adult Skills (PIAAC - Program for the International Assessment of Adult Competencies) data (OECD 2013), including the estimates of cognitive abilities in literacy, numeracy and problem solving in technology-rich environment. We develop our empirical study using PIAAC national database for Estonia as a small, rapidly developing European economy characterized by high rate of female labor force participation and gender wage disparities. The issue of gender wage disparities is especially topical in the case of small and developing economies where labour markets are particularly sensitive to any gaps in returns to labour. Therefore, we believe that Estonian case is relevant in a wage gap research framework allowing making certain generalizations that will be of particular policy value for other relatively quickly developing economies and regions, where women's labour participation rate is high and/or has a tendency to increase. In this paper, the unique, non-reached by the opposite gender human capital is identified and its effect on the earning profiles of unique human capital holders is analysed implementing several matching procedures and non-parametric decomposition. The results of the study show that the unique combination of skills, as a main component of the human capital, reached by males and females and unattained by opposite gender is one of the key sources of gender disparity in a human capital. The results revealed that male-unique human capital is at large extent embodied in combination of outstanding numerical and problem solving abilities, being often a strong competitive advantage of males. All in all, the novel perspective towards gender disparities in human capital and introducing a concept of gender-unique human capital within the wage gap framework, proved that men's and women's profiles cannot be directly compared, as particular characteristics are exclusive for certain gender. Ignoring this notion leads to overestimation of discriminatory labor market effects and thus imprecise wage inequality estimation.

Suggested Citation

  • Tiiu Paas & Maryna Tverdostup, 2016. "Assessment of labour market returns in the case of gender unique human capital," ERSA conference papers ersa16p157, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa16p157
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    References listed on IDEAS

    as
    1. Bertrand, Marianne, 2011. "New Perspectives on Gender," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 17, pages 1543-1590, Elsevier.
    2. David Neumark & Roy J. Bank & Kyle D. Van Nort, 1996. "Sex Discrimination in Restaurant Hiring: An Audit Study," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 915-941.
    3. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    4. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    5. Sangeeta Pratap & Erwan Quintin, 2001. "Are labor markets segmented in Argentina? a semiparametric approach," Center for Latin America Working Papers 0701, Federal Reserve Bank of Dallas.
    6. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    7. Hanushek, Eric A. & Schwerdt, Guido & Wiederhold, Simon & Woessmann, Ludger, 2015. "Returns to skills around the world: Evidence from PIAAC," European Economic Review, Elsevier, vol. 73(C), pages 103-130.
    8. Christofides, Louis N. & Polycarpou, Alexandros & Vrachimis, Konstantinos, 2013. "Gender wage gaps, ‘sticky floors’ and ‘glass ceilings’ in Europe," Labour Economics, Elsevier, vol. 21(C), pages 86-102.
    9. Vassil, Kristjan & Eamets, Raul & Mõtsmees, Pille, 2014. "Socio-demographic Model of Gender Gap in Expected and Actual Wages in Estonia," IZA Discussion Papers 8604, Institute of Labor Economics (IZA).
    10. Solomon W. Polachek & Jun Xiang, 2009. "The Gender Pay Gap across Countries: A Human Capital Approach," SOEPpapers on Multidisciplinary Panel Data Research 227, DIW Berlin, The German Socio-Economic Panel (SOEP).
    11. David Card & Ana Rute Cardoso & Patrick Kline, 2016. "Bargaining, Sorting, and the Gender Wage Gap: Quantifying the Impact of Firms on the Relative Pay of Women," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 633-686.
    12. Flavio Cunha & James J. Heckman, 2008. "Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    13. Nicole M. Fortin, 2008. "The Gender Wage Gap among Young Adults in the United States: The Importance of Money versus People," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    14. Catia Nicodemo & Raul Ramos, 2012. "Wage differentials between native and immigrant women in Spain," International Journal of Manpower, Emerald Group Publishing Limited, vol. 33(1), pages 118-136, March.
    15. O'Neill, June & Polachek, Solomon, 1993. "Why the Gender Gap in Wages Narrowed in the 1980s," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 205-228, January.
    16. Nicodemo, Catia & Ramos, Raul, 2011. "Wage Differentials between Native and Immigrant Women in Spain: Accounting for Differences in the Supports," IZA Discussion Papers 5571, Institute of Labor Economics (IZA).
    17. Bas ter Weel, 2008. "The Noncognitive Determinants of Labor Market and Behavioral Outcomes: Introduction to the Symposium," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    18. Donald B. Rubin, 1977. "Assignment to Treatment Group on the Basis of a Covariate," Journal of Educational and Behavioral Statistics, , vol. 2(1), pages 1-26, March.
    19. Albrecht, James & van Vuuren, Aico & Vroman, Susan, 2009. "Counterfactual distributions with sample selection adjustments: Econometric theory and an application to the Netherlands," Labour Economics, Elsevier, vol. 16(4), pages 383-396, August.
    20. Gary S. Becker, 1964. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, First Edition," NBER Books, National Bureau of Economic Research, Inc, number beck-5, March.
    21. Javier Alejo & Maria Florencia Gabrielli & Walter Sosa-Escudero, 2014. "The Distributive Effects of Education: An Unconditional Quantile Regression Approach," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 29(1), pages 53-76, April.
    22. James Albrecht & Anders Bjorklund & Susan Vroman, 2003. "Is There a Glass Ceiling in Sweden?," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 145-177, January.
    23. Nopo, Hugo R. & Daza, Nancy & Ramos, Johanna, 2011. "Gender Earnings Gaps in the World," IZA Discussion Papers 5736, Institute of Labor Economics (IZA).
    24. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    25. Lin Xiu & Morley Gunderson, 2014. "Glass ceiling or sticky floor? Quantile regression decomposition of the gender pay gap in China," International Journal of Manpower, Emerald Group Publishing Limited, vol. 35(3), pages 306-326, May.
    26. Wayne A. Grove & Andrew Hussey & Michael Jetter, 2011. "The Gender Pay Gap Beyond Human Capital: Heterogeneity in Noncognitive Skills and in Labor Market Tastes," Journal of Human Resources, University of Wisconsin Press, vol. 46(4), pages 827-874.
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    More about this item

    Keywords

    human capital; gender wage gap; non-parametric decomposition; PIAAC; Estonia;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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