IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/2087.html
   My bibliography  Save this paper

Male-female differences in labor market outcomes during the early transition to market : the case of Estonia and Slovenia

Author

Listed:
  • Orazem, Peter F.
  • Vodopivec, Milan

Abstract

The authors analyze changes in women's relative wages, using social security data from Slovenia (1987-92) and a retrospective survey of Estonia's labor force (1989-94). Estonia adopted liberal labor market policies. Slovenia took an interventionist approach. Nevertheless, relative wages for women rose in both countries. Actually, real wages fell for both men and women, but women lost less than men did. Certain factorfavored women: 1) Returns to human capital rose during the transition. 2) Relative labor demand shifted toward predominantly female sectors (health, education, financial services, retail trade) and away from traditionally male sectors (agriculture, manufacturing, mining, transportation). 3) Women with low wages had a disproportionate incentive to exit the labor market, especially in Estonia. Women were less mobile across jobs in both countries, however, so men disproportionately filled new jobs in expanding sectors. Women who remained employed had higher average education levels. Women's relative immobility will tend to reduce their early relative gains. Their relative wages will also continue to fall if their share of the expanding sectors continue to fall.

Suggested Citation

  • Orazem, Peter F. & Vodopivec, Milan, 1999. "Male-female differences in labor market outcomes during the early transition to market : the case of Estonia and Slovenia," Policy Research Working Paper Series 2087, The World Bank.
    • Handle: RePEc:wbk:wbrwps:2087
    as

    Download full text from publisher

    File URL: http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/1999/06/03/000094946_99040105542483/Rendered/PDF/multi_page.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Štefan Bojnee & Jozef Konings, 1999. "Job Creation, Job Destruction and Labour Demand in Slovenia," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 41(2-3), pages 135-149, September.
    2. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    3. Orazem, Peter F & Vodopivec, Milan, 1995. "Winners and Losers in Transition: Returns to Education, Experience, and Gender in Slovenia," The World Bank Economic Review, World Bank, vol. 9(2), pages 201-230, May.
    4. Haltiwanger, John C. & Vodopivec, Milan, 2002. "Gross worker and job flows in a transition economy: an analysis of Estonia," Labour Economics, Elsevier, vol. 9(5), pages 601-630, November.
    5. Blau, Francine D & Kahn, Lawrence M, 1992. "The Gender Earnings Gap: Learning from International Comparisons," American Economic Review, American Economic Association, vol. 82(2), pages 533-538, May.
    6. Schultz, Theodore W, 1975. "The Value of the Ability to Deal with Disequilibria," Journal of Economic Literature, American Economic Association, vol. 13(3), pages 827-846, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barry Reilly, 1999. "The gender pay gap in Russia during the transition, 1992‐96," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 7(1), pages 245-264, March.
    2. Chase, Robert S., 1997. "Markets for Communist Human Capital: Returns to Education and Experience in the Czech Republic and Slovakia," Center Discussion Papers 28391, Yale University, Economic Growth Center.
    3. Newell, Andrew & Reilly, Barry, 2001. "The gender pay gap in the transition from communism: some empirical evidence," Economic Systems, Elsevier, vol. 25(4), pages 287-304, December.
    4. Robert S. Chase, 1997. "Markets for Communist Human Capital: Returns to Education and Experience in the Czech Republic and Slovakia," Working Papers 770, Economic Growth Center, Yale University.
    5. Joanna Tyrowicz & Lucas van der Velde, 2017. "When the opportunity knocks: large structural shocks and gender wage gaps," GRAPE Working Papers 2, GRAPE Group for Research in Applied Economics.
    6. Tao Yang, Dennis, 2004. "Education and allocative efficiency: household income growth during rural reforms in China," Journal of Development Economics, Elsevier, vol. 74(1), pages 137-162, June.
    7. Ekaterina Selezneva & Philippe Van Kerm, 2016. "A distribution-sensitive examination of the gender wage gap in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 21-40, March.
    8. Edin, Per-Anders & Richardson, Katarina, 1999. "Swimming with the tide: solidarity wage policy and the gender earnings gap," Working Paper Series 1999:3, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    9. Francine D. Blau & Lawrence M. Kahn, 2003. "Understanding International Differences in the Gender Pay Gap," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 106-144, January.
    10. René Böheim & Klemens Himpele & Helmut Mahringer & Christine Zulehner, 2011. "The Gender Pay Gap in Austria: Tamensi Movetur!," WIFO Working Papers 394, WIFO.
    11. Galor, Oded & Tsiddon, Daniel, 1997. "Technological Progress, Mobility, and Economic Growth," American Economic Review, American Economic Association, vol. 87(3), pages 363-382, June.
    12. Töpfer, Marina, 2017. "Detailed RIF Decomposition with Selection - The Gender Pay Gap in Italy," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168422, Verein für Socialpolitik / German Economic Association.
    13. Andrew Newell & Barry Reilly, 1999. "Rates of Return to Educational Qualifications in the Transitional Economies," Education Economics, Taylor & Francis Journals, vol. 7(1), pages 67-84.
    14. Li, Tianyou & Zhang, Junsen, 1998. "Returns to education under collective and household farming in China," Journal of Development Economics, Elsevier, vol. 56(2), pages 307-335, August.
    15. Gould, Eric D & Moav, Omer & Weinberg, Bruce A, 2001. "Precautionary Demand for Education, Inequality, and Technological Progress," Journal of Economic Growth, Springer, vol. 6(4), pages 285-315, December.
    16. Katsuya Takii, 2003. "Prediction Ability," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(1), pages 80-98, January.
    17. Sofia Cheidvasser, 2000. "The Educated Russian's Curse: Returns to Education in the Russian Federation," Econometric Society World Congress 2000 Contributed Papers 0246, Econometric Society.
    18. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.
    19. Yang, Dennis Tao, 2005. "Determinants of schooling returns during transition: Evidence from Chinese cities," Journal of Comparative Economics, Elsevier, vol. 33(2), pages 244-264, June.
    20. Paternostro, Stefano & Sahn, David E., 1999. "Wage determination and gender discrimination in a transition economy : the case of Romania," Policy Research Working Paper Series 2113, The World Bank.

    More about this item

    Keywords

    Labor Policies; Health Monitoring&Evaluation; Banks&Banking Reform; Public Health Promotion; Environmental Economics&Policies; Banks&Banking Reform; Municipal Financial Management; Labor Standards; Health Monitoring&Evaluation; Environmental Economics&Policies;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wbk:wbrwps:2087. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.