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The Determinants of Female Labour Supply in Belarus

Author

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  • Pastore, Francesco

    (Università della Campania Luigi Vanvitelli)

  • Verashchagina, Alina

    (Marche Polytechnic University)

Abstract

Unlike in many other transition countries, where the gender pay gap has remained stable while female employment rates have reduced, in the case of Belarus women’ activity rate has been practically unchanged despite an increase in the gender pay gap. This paper investigates why this is the case by looking at the determinants of female labour force participation in 1996 and 2001 (data from the Belarusian Household Survey). The selectivity corrected wage equation is estimated to compute an expected wage offer for women. The latter is included, in the second step, as a regressor in the structural female labour supply equation, estimated by probit. Several measures for the care of children and elderly people, proxies for the opportunity cost of working, affect female participation, but do not generate sample selection mechanisms. The estimated elasticity of female participation to wages is low, at about 0.45 in 1996 and 0.41 in 2001. Moreover the data allows detecting poverty trap mechanisms, whereas women in low-income households have much lower than average participation rates. At the same time the elasticity of female labour supply with respect to the own wage appears to be much higher for the low-paid groups of women.

Suggested Citation

  • Pastore, Francesco & Verashchagina, Alina, 2008. "The Determinants of Female Labour Supply in Belarus," IZA Discussion Papers 3457, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp3457
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    References listed on IDEAS

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    1. Angrist, Joshua D & Evans, William N, 1998. "Children and Their Parents' Labor Supply: Evidence from Exogenous Variation in Family Size," American Economic Review, American Economic Association, vol. 88(3), pages 450-477, June.
    2. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    3. Pastore, Francesco & Verashchagina, Alina, 2007. "When Does Transition Increase the Gender Wage Gap? An Application to Belarus," IZA Discussion Papers 2796, Institute of Labor Economics (IZA).
    4. Quisumbing, Agnes R. & Haddad, Lawrence & Pena, Christine, 2001. "Are women overrepresented among the poor? An analysis of poverty in 10 developing countries," Journal of Development Economics, Elsevier, vol. 66(1), pages 225-269, October.
    5. Orazem, Peter F. & Vodopivec, Milan, 1997. "Value of human capital in transition to market: Evidence from Slovenia," European Economic Review, Elsevier, vol. 41(3-5), pages 893-903, April.
    6. Munich, Daniel & Svejnar, Jan & Terrell, Katherine, 2005. "Is women's human capital valued more by markets than by planners?," Journal of Comparative Economics, Elsevier, vol. 33(2), pages 278-299, June.
    7. Catherine Saget, 1999. "The determinants of female labour supply in Hungary," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 7(3), pages 575-591, November.
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    Cited by:

    1. Arabsheibani, G. Reza & Kudebayeva, Alma & Mussurov, Altay, 2021. "A note on bride kidnapping and labour supply behaviour of Kyrgyz women," Economic Systems, Elsevier, vol. 45(4).
    2. Arabsheibani, Reza & Kudebayeva, Alma & Mussurov, Altay, 2021. "Bride Kidnapping and Labour Supply Behaviour of Married Kyrgyz Women," IZA Discussion Papers 14133, Institute of Labor Economics (IZA).
    3. Arabsheibani, G. Reza & Kudebayeva, Alma & Mussurov, Altay, 2021. "A note on bride kidnapping and labour supply behaviour of Kyrgyz women," LSE Research Online Documents on Economics 113438, London School of Economics and Political Science, LSE Library.
    4. Aliaksandr Amialchuk & Maksim Yemelyanau & Katerina Lisenkova & Mykhaylo Salnykov, 2011. "Economic Determinants of Fertility in Belarus: a Micro-Data Analysis," BEROC Working Paper Series 13, Belarusian Economic Research and Outreach Center (BEROC).

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    More about this item

    Keywords

    gender wage gap; economic transition; female participation; Belarus;
    All these keywords.

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • P20 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - General
    • P52 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - Comparative Studies of Particular Economies

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