IDEAS home Printed from https://ideas.repec.org/h/spr/aiechp/978-3-642-55203-8_4.html
   My bibliography  Save this book chapter

Compensating Wage Differentials Across Russian Regions

In: Geographical Labor Market Imbalances

Author

Listed:
  • Aleksey Oshchepkov

    (Higher School of Economics)

Abstract

In this chapter, we provide evidence on compensating differentials in the labor market from the largest transition economy, Russia. Using the NOBUS micro-data and a methodology based on the estimation of the wage equation augmented by aggregate regional characteristics, we show that wage differentials across Russian regions have a compensative nature. Russian workers receive wage compensations for living in regions with a higher price level and worse nonpecuniary characteristics, such as a relatively low life expectancy, a high level of air pollution, poor medical services, a colder climate, and a higher unemployment level. These compensations are not associated with the existing government system of compensating wage coefficients. After adjusting for regional amenities and disamenities, regional wages become positively correlated with interregional migration flows. According to our estimates, wage compensations along with differences in employment composition are able to account for about three-fourths of the observed variation in wages across Russian regions.

Suggested Citation

  • Aleksey Oshchepkov, 2015. "Compensating Wage Differentials Across Russian Regions," AIEL Series in Labour Economics, in: Chiara Mussida & Francesco Pastore (ed.), Geographical Labor Market Imbalances, edition 127, chapter 0, pages 65-105, Springer.
    • Handle: RePEc:spr:aiechp:978-3-642-55203-8_4
    DOI: 10.1007/978-3-642-55203-8_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Giltman, M. & Pit, V. & Batyreva, M. & Sumik, E., 2020. "Which cities do we like to live in? Empirical analysis of employees' attitude to cities," Journal of the New Economic Association, New Economic Association, vol. 45(1), pages 111-130.
    2. Marina Malkina, 2019. "Spatial wage inequality and its sectoral determinants: the case of modern Russia," Oeconomia Copernicana, Institute of Economic Research, vol. 10(1), pages 69-87, March.
    3. Ekaterina Melianova & Suhas Parandekar & Artem Volgin, 2020. "Returns to Education in the Russian Federation," World Bank Publications - Reports 34454, The World Bank Group.
    4. Giltman, M., 2017. "Employment in the North of Russia: Microdata Analysis," Journal of the New Economic Association, New Economic Association, vol. 35(3), pages 103-124.
    5. Lehmann, Hartmut & Oshchepkov, Aleksey & Silvagni, Maria Giulia, 2020. "Regional Convergence in Russia: Estimating a Neoclassical Growth Model," IZA Discussion Papers 13039, Institute of Labor Economics (IZA).
    6. E. V. Antonov & N. K. Kurichev & A. I. Treivish, 2022. "Shrinking Urban System of the Largest Country: Research Progress and Unsolved Issues," Regional Research of Russia, Springer, vol. 12(1), pages 20-35, March.

    More about this item

    Keywords

    Compensating differentials; Regional wages; Migration; Russia;
    All these keywords.

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • P2 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

    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:spr:aiechp:978-3-642-55203-8_4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.