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An empirical analysis of the gender earnings gap between the public and private sectors in Korea: A comparative study with the US

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  • Cho, Donghun
  • Cho, Joonmo
  • Song, Bohwa

Abstract

This paper conducts an empirical analysis of the gender earnings gap in the public and private sectors by comparing the cases in Korea with those in the US. Using comparable data sets by the Panel Study of Income Dynamics for the US and the Korean Income Panel Study for Korea, this study decomposes the gender earnings gap in order to identify the causal factors. One of the main factors attributable to a much lower gender earnings gap found in the Korean public sector is the self-selection by female workers with high levels of human capital who decide to enter the public sector. Another factor is the differing levels of efforts made by institutions, in areas such as wage structure, the enforcement of gender equality related laws, and the provision of paid family leave, which may affect differently the gender earnings gap in the public and private sector jobs. The empirical results of this study suggest that the differing levels of institutional efforts lower the gender earnings gap within the Korean public sector.

Suggested Citation

  • Cho, Donghun & Cho, Joonmo & Song, Bohwa, 2010. "An empirical analysis of the gender earnings gap between the public and private sectors in Korea: A comparative study with the US," Journal of the Japanese and International Economies, Elsevier, vol. 24(3), pages 441-456, September.
    • Handle: RePEc:eee:jjieco:v:24:y:2010:i:3:p:441-456
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    References listed on IDEAS

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    1. Myeong-Su Yun, 2005. "A Simple Solution to the Identification Problem in Detailed Wage Decompositions," Economic Inquiry, Western Economic Association International, vol. 43(4), pages 766-772, October.
    2. Blau, Francine D & Kahn, Lawrence M, 1996. "Wage Structure and Gender Earnings Differentials: An International Comparison," Economica, London School of Economics and Political Science, vol. 63(250), pages 29-62, Suppl..
    3. Pederson, P. J. & Schmidt-Sorensen, J. B. & Smith, N. & Westergard-Nielsen, N., 1990. "Wage differentials between the public and private sectors," Journal of Public Economics, Elsevier, vol. 41(1), pages 125-145, February.
    4. Ronald L. Oaxaca & Michael R. Ransom, 1999. "Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 154-157, February.
    5. Javier Gardeazabal & Arantza Ugidos, 2004. "More on Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 1034-1036, November.
    6. Myeong‐Su Yun, 2009. "Wage Differentials, Discrimination And Inequality: A Cautionary Note On The Juhn, Murphy And Pierce Decomposition Method," Scottish Journal of Political Economy, Scottish Economic Society, vol. 56(1), pages 114-122, February.
    7. M. C. Berger & P. Groothuis & P. Jeon, 1997. "The changing gender wage gap in Korea," Applied Economics Letters, Taylor & Francis Journals, vol. 4(9), pages 579-582.
    8. William A. Darity & Patrick L. Mason, 1998. "Evidence on Discrimination in Employment: Codes of Color, Codes of Gender," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 63-90, Spring.
    9. Smith, James P & Welch, Finis R, 1989. "Black Economic Progress after Myrdal," Journal of Economic Literature, American Economic Association, vol. 27(2), pages 519-564, June.
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    Cited by:

    1. Chiang, Hui-Yu & Ohtake, Fumio, 2014. "Performance-pay and the gender wage gap in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 71-88.
    2. Hanna Jung & Joonmo Cho, 2016. "Quality of Jobs for Female Workers: A Comparative Study of South Korea and Australia," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 11(1), pages 1-22, March.
    3. Up Lim & Ye Choi & Heonyoung Lee, 2015. "Occupational skills and the gender wage gap in Seoul, Korea: a multilevel approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(2), pages 335-356, December.
    4. GholamReza Haddad, 2015. "Gender ratio, divorce rate, and intra-household collective decision process: evidence from iranian urban households labor supply with non-participation," Empirical Economics, Springer, vol. 48(4), pages 1365-1394, June.
    5. Joonmo Cho & Donghun Cho, 2011. "Gender difference of the informal sector wage gap: a longitudinal analysis for the Korean labor market," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 16(4), pages 612-629.
    6. Cho, Joonmo & Lee, Tai & Jung, Hanna, 2014. "Glass ceiling in a stratified labor market: Evidence from Korea," Journal of the Japanese and International Economies, Elsevier, vol. 32(C), pages 56-70.
    7. Tromp, Nikolas, 2019. "The narrowing gender wage gap in South Korea," Journal of the Japanese and International Economies, Elsevier, vol. 53(C), pages 1-1.
    8. Tromp, Nikolas, 2016. "Decomposing the Gender Wage Gap Across the Wage Distribution: South Korea in 2003 vs. 2013," MPRA Paper 75123, University Library of Munich, Germany, revised 08 Nov 2016.
    9. Joonmo Cho & Jaeseong Lee & Taehee Kwon, 2013. "Gender exclusion in social security protection: evidence from Korea," Asian-Pacific Economic Literature, Asia Pacific School of Economics and Government, The Australian National University, vol. 27(1), pages 62-78, May.

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