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The structure of wages during the economic transition in Romania

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  • Skoufias, Emmanuel

Abstract

This paper uses cross-sectional individual data from the 1994 Integrated Household Survey of Romania to analyze the determinants of male and female wages in public and private enterprises. Using quantile regression, the rate of return to education and experience at different quantiles of the wage distribution is estimated. Higher levels of education are significantly associated with higher wages for both males and females in public firms. In private firms, only college education is correlated with significantly higher wages. Differences in individual characteristics are found to explain the highest portion of the male-female wage differential in Romania in both sectors.

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Bibliographic Info

Paper provided by International Food Policy Research Institute (IFPRI) in its series FCND discussion papers with number 57.

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Date of creation: 1999
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Handle: RePEc:fpr:fcnddp:57

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Keywords: employment ; Wage differentials Romania. ; Wages. ; Gender issues. ; Labor economics. ; Household surveys ;

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References

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  1. van der Gaag, Jacques & Vijverberg, Wim, 1988. "A Switching Regression Model for Wage Determinants in the Public and Private Sectors of a Developing Country," The Review of Economics and Statistics, MIT Press, vol. 70(2), pages 244-52, May.
  2. Krueger, Alan B & Summers, Lawrence H, 1988. "Efficiency Wages and the Inter-industry Wage Structure," Econometrica, Econometric Society, vol. 56(2), pages 259-93, March.
  3. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  4. Terrell, Katherine, 1993. "Public-private wage differentials in Haiti Do public servants earn a rent?," Journal of Development Economics, Elsevier, vol. 42(2), pages 293-314, December.
  5. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
  6. F. L. Jones, 1983. "On Decomposing the Wage Gap: A Critical Comment on Blinder's Method," Journal of Human Resources, University of Wisconsin Press, vol. 18(1), pages 126-130.
  7. Elena Glinskaya & Thomas A. Mroz, 2000. "The gender gap in wages in Russia from 1992 to 1995," Journal of Population Economics, Springer, vol. 13(2), pages 353-386.
  8. George Psacharopoulos, 1985. "Returns to Education: A Further International Update and Implications," Journal of Human Resources, University of Wisconsin Press, vol. 20(4), pages 583-604.
  9. Avner Ben-Ner & J. Michael Montias, 1991. "The Introduction of Markets in a Hypercentralized Economy: The Case of Romania," Journal of Economic Perspectives, American Economic Association, vol. 5(4), pages 163-170, Fall.
  10. John S. Earle & Almos Telegdy, 1998. "The results of 'mass privatization'in Romania: A first empirical study," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 6(2), pages 313-332, November.
  11. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
  12. David Neumark, 1987. "Employers' discriminatory behavior and the estimation of wage discrimination," Special Studies Papers 227, Board of Governors of the Federal Reserve System (U.S.).
  13. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  14. Hotchkiss, Julie L & Moore, Robert E, 1996. "Gender Compensation Differentials in Jamaica," Economic Development and Cultural Change, University of Chicago Press, vol. 44(3), pages 657-76, April.
  15. Idson, Todd L & Feaster, Daniel J, 1990. "A Selectivity Model of Employer-Size Wage Differentials," Journal of Labor Economics, University of Chicago Press, vol. 8(1), pages 99-122, January.
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Cited by:
  1. Daniela Andren & John S. Earle & Dana Sapatoru, 2004. "The Wage Effects of Schooling under Socialism and in Transition: Evidence from Romania, 1950-2000," Upjohn Working Papers and Journal Articles 04-108, W.E. Upjohn Institute for Employment Research.
  2. Andrén, Daniela, 2012. "Romanians, Hungarians and their wages, in transition, in Romania," Economic Modelling, Elsevier, vol. 29(6), pages 2673-2685.
  3. Andrén, Daniela, 2010. ""In every rank, or great or small, ’Tis industry supports us all": Romanians and ethnic Hungarians, and their wages, in transition," Working Papers 2010:1, Örebro University, School of Business.
  4. Aleksandra Parteka, 2012. "Skilled-Unskilled Wage Gap Versus Evolving Trade And Labour Market Structures in the EU," Working Papers 1204, Instytut Rozwoju, Institute for Development.
  5. Aristei, David & Perugini, Cristiano, 2012. "Inequality and reforms in transition countries," Economic Systems, Elsevier, vol. 36(1), pages 2-10.
  6. Penka Kovacheva, 2011. "Human capital and wage inequality during transition: evidence from Bulgaria," Post-Communist Economies, Taylor & Francis Journals, vol. 23(2), pages 237-255.

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