Loading menu…

Human Capital and Glass Ceiling: Quantile Regression Decomposition of Gender Pay Gap in Korean Labor Market

HongYe Sun
HongYe Sun * §
Contact
GiSeung Kim
GiSeung Kim
Contact
§ Department of Economics, Pusan National University, ...

Send Message

To: Author

Human Capital and Glass Ceiling: Quantile Regression Decomposition of Gender Pay Gap in Korean Labor Market

Article Fingerprint

ReserarchID

69F63

Human Capital and Glass Ceiling: Quantile Regression Decomposition of Gender Pay Gap in Korean Labor Market Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant
Access Review Comments
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Reading Preferences
Font Size
Line Spacing
Background
This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

Conventional estimation methods on analyzing gender pay gap focus on comparing the earnings premium and gender inequality from the view of mean earnings distribution, highlighting human capital factors (e.g. education attainment, career training). However, mean distribution analysis do not reflect the whole perspective of gender earnings. Therefore, in our study, we adopt quantile regression estimation method to measure the impact of human capital (e.g. returns to education) and other social characteristics factors on wage. In addition, Melly2006 wage decomposition method is employed to reveal the pattern of gender earnings gap through overall distributions. We verified the evidence of ‘glass ceiling effect’ phenomenon in Korean labor market. The finds of our study also imply the female’s returns to education are higher than male, and the magnitude is even higher for upper earnings distribution. Furthermore, the estimation results of conditional and unconditional quantile regression present the differential of human capital variables occupy a big part of the explanatory on gender wage gap.

References

29 Cites in Article
  1. 1. T. Ahn (2012). Gender wage gap across the wage distribution in Korea. Applied Economics, 14(1), 127-149.
  2. 2. J. Albrecht,A. Bjorklund,S. Vroman (2001). Is There a Glass Ceiling in Sweden?. Journal of Labor Economics, 21(1), 145-177.
    CrossRef DOI
  3. 3. W. Arulampalam,A. Booth,M. Bryan (2007). Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution. Industrial & Labor Relations Review, 60(2), 163-186.
  4. 4. Mehtabul Azam (2012). Changes in Wage Structure in Urban India, 1983–2004: A Quantile Regression Decomposition. World Development, 40(6), 1135-1150.
    CrossRef DOI
  5. 5. G. Becker (1971). The Economics of Discrimination.
  6. 6. W. Chi,B. Li (2008). Glass ceiling or sticky floor? Examining the gender earnings differential across the earnings distribution in urban China. Journal of Comparative Economics, 36(2), 243-263.
  7. 7. Joonmo Cho (2014). Glass ceiling in a stratified labor market: Evidence from Korea. Journal of the Japanese and International Economies, 32, 56-70.
    CrossRef DOI
  8. 8. L. Christofides,A. Polycarpou,K. Vrachimis (2013). Gender wage gaps, ‘sticky floors’ and ‘glass ceilings’ in Europe. Labour Economics, 21, 86-102.
  9. 9. S. De la Rica,J. Dolado,V. Llorens (2008). Ceilings or floors? Gender wage gaps by education in Spain. Journal of Population Economics, 21(3), 751-776.
  10. 10. J. DiNardo,N. Fortin,T. Lemieux,Labor institutions,the wages (1995). A semiparametric approach.
  11. 11. S. Firpo,N. Fortin,T. Lemieux (2007). Decomposing Wage Distributions Using Recentered Influence Function Regressions.
  12. 12. N. Fortin,T. Lemieux,S. Firpo (2009). Unconditional Quantile Regressions. Econometrica, 77(3), 953-973.
    CrossRef DOI
  13. 13. Markus Frölich,Blaise Melly (2008). Unconditional Quantile Treatment Effects Under Endogeneity. IZA Discussion Paper No. 3288, January, 3288
    CrossRef DOI
  14. 14. S. Heo (2003). An Empirical Analysis of Gender Wage Differentials in Industries and Occupations. Applied Economics, 5(3), 57-74.
  15. 15. H. Kee (2006). Glass Ceiling or Sticky Floor? Exploring the Australian Gender Pay Gap. Economic Record, 82(259), 408-427.
  16. 16. Roger Koenker,Gilbert Bassett (1978). Regression Quantiles. Econometrica, 46(1), 33.
    CrossRef DOI
  17. 17. G. Liu (2001). The Gender Pay Gap in South Korea: Difference and Discrimination. Korea Development, 23(1), 193-232.
  18. 18. T. Lorenz (2014). Changes in the distribution of rental prices in Berlin. Regional Science & Urban Economics, 51, 88-100.
  19. 19. José Machado,José Mata (2005). Counterfactual decomposition of changes in wage distributions using quantile regression. Journal of Applied Econometrics, 20(4), 445-465.
    CrossRef DOI
  20. 20. B. Melly (2006). Estimation of counterfactual distributions using quantile regression. Review of Labor Economics, 68(4), 543-572.
  21. 21. Blaise Melly (2005). Decomposition of differences in distribution using quantile regression. Labour Economics, 12(4), 577-590.
    CrossRef DOI
  22. 22. George Messinis (2013). Returns to education and urban-migrant wage differentials in China: IV quantile treatment effects. China Economic Review, 26, 39-55.
    CrossRef DOI
  23. 23. ILO (2012). International Standard Classification of Occupations 2008 (ISCO-08): Structure.
  24. 24. Gary Sandefur,Hyunjoon Park (2007). Educational expansion and changes in occupational returns to education in Korea. Research in Social Stratification and Mobility, 25(4), 306-322.
    CrossRef DOI
  25. 25. Lorenz Thomschke (2015). Changes in the distribution of rental prices in Berlin. Regional Science and Urban Economics, 51, 88-100.
    CrossRef DOI
  26. 26. Sasiwimon Warunsiri,Robert McNown (2010). The Returns to Education in Thailand: A Pseudo-Panel Approach. World Development, 38(11), 1616-1625.
    CrossRef DOI
  27. 27. L. Xiu,M. Gunderson (2014). Glass ceiling or sticky floor? Quantile regression decomposition of the gender pay gap in China. International Journal of Manpower, 35(3), 306-326.
  28. 28. Ying Zhuge,Joyce Kaufman,Diane Simeone,Herbert Chen,Omaida Velazquez (2011). Is There Still a Glass Ceiling for Women in Academic Surgery?. Annals of Surgery, 253(4), 637-643.
    CrossRef DOI
  29. 29. Hai Zhong (2011). Returns to higher education in China: What is the role of college quality?. China Economic Review, 22(2), 260-275.
    CrossRef DOI
Show All References
Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

HongYe Sun, GiSeung Kim. 2015. "Human Capital and Glass Ceiling: Quantile Regression Decomposition of Gender Pay Gap in Korean Labor Market". Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 15 (GJHSS Volume 15 Issue 46 (E7)).

More Citation Formats

Download Citation

  • Open Access
  • Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 (CC BY-NC-ND 4.0)
Download Article
Access OJS
Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Keywords
glass ceilingreturn to educationunconditional quantile regression
Classification
GJHSS-E Classification JEL Code: C21
D31
I24
  • Submission ReceivedFebruary 3, 2015
  • Peer Review Double Blind
    Handling Editor
  • Accepted March 1, 2015
  • Published September 7, 2015
Version of record
v1.2

Issue date
September 7, 2015

Language
English
Order Article Reprint
Experience in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR
Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D
Article Matrices
Total Views: 1.5K
Total Downloads: 92
All Trends

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Human Capital and Glass Ceiling: Quantile Regression Decomposition of Gender Pay Gap in Korean Labor Market

HongYe Sun
HongYe Sun
  • Submission ReceivedFebruary 3, 2015
  • Peer Review Double Blind
    Handling Editor
  • Accepted March 1, 2015
  • Published September 7, 2015