IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpla/0204003.html
   My bibliography  Save this paper

Human Capital in Transitional Russia

Author

Listed:
  • Victoria Vernon

    (Univeristy of Texas at Austin)

Abstract

This paper applies parametric and nonparametric techniques to the most recent data from the Russian Longitudinal Monitoring Survey (RLMS) 1992- 2000 and shows the returns to schooling increased over the course of transition, overall and for attainment cohorts neither at the top nor bottom of the schooling ladder. The collapse in earnings is focused on people with graduate degrees. Returns to schooling are higher for women; but this gain is more than offset by the large gender wage gap. The gender wage differential increased over the years especially for younger women and women without higher education; there is evidence of increased discrimination. Return to experience increased and remained higher for women than for men. The age-earnings profile for men became more compressed, favoring the young with respect to the old; whereas the opposite took place for women, whose earnings peak became steeper at the middle age. Comparing to the estimates from the U.S. Current Population Survey 1992-2000, the returns to schooling are still lower in Russia; while the returns to experience are higher, especially for women, and the gender wage differential is now more than twice as large in Russia than in the U.S.

Suggested Citation

  • Victoria Vernon, 2002. "Human Capital in Transitional Russia," Labor and Demography 0204003, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpla:0204003
    Note: Type of Document - pdf; prepared on IBM PC ; to print on HP;
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/lab/papers/0204/0204003.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Flabbi, Luca & Paternostro, Stefano & Tiongson, Erwin R., 2008. "Returns to education in the economic transition: A systematic assessment using comparable data," Economics of Education Review, Elsevier, vol. 27(6), pages 724-740, December.
    2. Alexander Muravyev, 2006. "Human Capital Externalities: Evidence from the Transition Economy of Russia," Discussion Papers of DIW Berlin 629, DIW Berlin, German Institute for Economic Research.
    3. Zoya Nissanov & Maria Grazia Pittau, 2016. "Measuring changes in the Russian middle class between 1992 and 2008: a nonparametric distributional analysis," Empirical Economics, Springer, vol. 50(2), pages 503-530, March.
    4. Roshchin, Sergey & Yemelina, Natalya, 2021. "Gender wage gap decomposition methods: Comparative analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 62, pages 5-31.
    5. Harry Patrinos & Suhas Parandekar & Ekaterina Melianova & Artem Volgin, 2020. "Returns to Education in the Russian Federation," World Bank Publications - Reports 33976, The World Bank Group.
    6. Elena Kazakova, 2007. "Wages in a growing Russia," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 15(2), pages 365-392, April.
    7. Tamar Khitarishvili, 2010. "Assessing the Returns to Education in Georgia," Economics Working Paper Archive wp_608, Levy Economics Institute.

    More about this item

    Keywords

    human capital; Russian transitional economy; labor markets returns to education; wage determinants;
    All these keywords.

    JEL classification:

    • P2 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies
    • J0 - Labor and Demographic Economics - - General
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J7 - Labor and Demographic Economics - - Labor Discrimination

    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:wpa:wuwpla:0204003. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.