Finance and Credit
 

Abstracting and Indexing

РИНЦ
Referativny Zhurnal VINITI RAS
Worldcat
LCCN Permalink
Google Scholar

Online available

EBSCOhost
Eastview
Elibrary
Biblioclub

Archiving

Cyberleninka (12 month OA embargo)

Gender income gap decomposition: Evidence from the Volga Federal District

Vol. 25, Iss. 1, JANUARY 2019

Received: 2 October 2018

Received in revised form: 16 October 2018

Accepted: 30 October 2018

Available online: 29 January 2019

Subject Heading: Financial control

JEL Classification: C31

Pages: 70–85

https://doi.org/10.24891/fc.25.1.70

Ovchinnikov V.N. Macroeconomic Research Center of Financial Research Institute of Ministry of Finance of Russian Federation (FRI), Moscow, Russian Federation
vyacheslav_ovchinnikov_1993@mail.ru

ORCID id: not available

Subject The paper considers the issues of gender income gap breakdown.
Objectives The paper aims to quantify the factors of gender income spread in the Volga Federal District.
Methods For the study, I used a descriptive method, distribution density scheme, the methods of ordinary least squares (OLS) and conditional quantile regressions, as well as the Blinder–Oaxaca decomposition and the Machado-Mata approach.
Results The paper shows that the differentiation in the income of men and women in the Volga Federal District is caused by differences in the market valuation of individual characteristics of their human capital.
Conclusions The paper concludes that market valuation effects of human capital play a dominant role in shaping a gender differentiation in income.

Keywords: decomposition, gender inequality, conditional quantile regression, OLS regression

References:

  1. Lazaryan S.S., Chernotalova M.A. [Global Risk of Rising Inequality]. Nauchno-issledovatel'skii finansovyi institut. Finansovyi zhurnal = Financial Journal, 2017, no. 4, pp. 34–46. URL: Link (In Russ.)
  2. Kapelyushnikov R.I. [Inequality: How not to primitivize the problem]. Voprosy Ekonomiki, 2017, no. 4, pp. 117–139. (In Russ.)
  3. Leukhin R.S., Suslina A.L. [Labour Taxes Progressivity in Russia: Ways to Reform Personal Income Tax]. Nauchno-issledovatel'skii finansovyi institut. Finansovyi zhurnal = Financial Journal, 2017, no. 6, pp. 50–63. URL: Link (In Russ.)
  4. Nivorozhkina L.I. [Gender differentiation: influence of local labor markets]. TERRA ECONOMICUS, 2005, vol. 3, iss. 1, pp. 23–33. URL: Link (In Russ.)
  5. Grinenko S.V., Bogomolova I.S., Zadorozhnyaya E.K. [Gender specifics of human capital]. Natsional'nye interesy: prioritety i bezopasnost' = National Interests: Priorities and Security, 2014, no. 38, pp. 20–35. URL: Link (In Russ.)
  6. Suh J. Decomposition of the Change in the Gender Wage Gap. Research in Business and Economics Journal, 2015, 18 p. URL: Link
  7. Heinze A. Beyond the Mean Gender Wage Gap: Decomposition of Differences in Wage Distributions Using Quantile Regression. ZEW – Centre for European Economic Research Discussion Paper, 2010, no. 10-043, pp. 1–32. URL: Link
  8. Polyakova E.Yu., Smirnykh L.I. [The earning differential between natives and individuals with immigrant background in Russia: The role of ethnicity]. Prikladnaya ekonometrika = Applied Econometrics, 2016, no. 3, pp. 52–72. URL: Link (In Russ.)
  9. Gimpel'son V.E., Kapelyushnikov R.I. [Is It Normal to Be Informal?]. Ekonomicheskii zhurnal Vysshei shkoly ekonomiki = The HSE Economic Journal, 2013, vol. 17, iss. 1, pp. 3–40. URL: Link (In Russ.)
  10. Luk'yanova A.L. [Application of unrestricted quantile regressions in assessment of impact of informality on inequality]. Prikladnaya ekonometrika = Applied Econometrics, 2013, no. 32, pp. 3–28. URL: Link (In Russ.)
  11. Oaxaca R. Male-Female Wage Differentials in Urban Labor Markets. International Economic Review, 1973, vol. 14, no. 3, pp. 693–709. URL: Link
  12. Blinder A.S. Wage Discrimination: Reduced Form and Structural Estimates. The Journal of Human Resources, 1973, vol. 8, no. 4, pp. 436–455. URL: Link
  13. Machado J.A.F., Mata J. Counterfactual Decomposition of Changes in Wage Distributions Using Quantile Regression. Journal of Applied Econometrics, 2005, vol. 20, iss. 4, pp. 444–465. URL: Link
  14. Koenker R., Bassett G. Jr. Regression Quantiles. Econometrica, 1978, vol. 46, no. 1, pp. 33–50. URL: Link
  15. Koenker R. Quantile Regression for Longitudinal Data. Journal of Multivariate Analysis, 2004, vol. 91, iss. 1, pp. 74–89. URL: Link
  16. DiNardo J., Fortin N.M., Lemieux T. Labor Market Institutions and the Distribution of Wages, 1973–1992: A Semiparametric Approach. NBER Working Paper, 1995, no. 5093. URL: Link
  17. Fortin N., Lemieux T., Firpo S. Decomposition Methods in Economics. NBER Working Paper, 2010, no. 16045. URL: Link
  18. Chernozhukov V., Fernandez-Val I., Melly B. Inference on Counterfactual Distributions. Econometrica, 2013, vol. 81, iss. 6, pp. 2205–2268. URL: Link
  19. Cheidvesser S., Benitez-Silva H. The Educated Russian's Curse: Returns to Education in the Russian Federation during the 1990s. Labour, 2007, vol. 21, iss. 1, pp. 1–41. URL: Link
  20. Cotton J. On the Decomposition of Wage Differentials. The Review of Economics and Statistics, 1988, vol. 70, no. 2, pp. 236–243. URL: Link

View all articles of issue

 

ISSN 2311-8709 (Online)
ISSN 2071-4688 (Print)

Journal current issue

Vol. 25, Iss. 7
July 2019

Archive