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Quantile Regression Analysis of Wage Determinants in the Korean Labor Market
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논문 기본 정보

Type
Academic journal
Author
Journal
Association Of Korean Economic Studies Korea and the World Economy Vol.7 No.1 KCI Accredited Journals
Published
2006.5
Pages
1 - 31 (31page)

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Quantile Regression Analysis of Wage Determinants in the Korean Labor Market
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Abstract· Keywords

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This paper investigates wage determinants in the Korean labor market using the recently available Korean Labor and Income Panel Study (KLIPS). This paper uses the quantile regression method for each conditional quantile wage group. Most other labor market analysis uses (mean) regression analysis, which focuses only on average statistics. Different wage groups behave differently with respect to the different socio-economic covariates. Quantile regressions allow us to examine more comprehensive pictures for different quantile wage groups. In the Korean labor market, we found that age is the most significant factor for wage determination while experience premium is lower for higher quantile wage groups. Education also plays an important role for wage determination as predicted, and the return on education is quite consistent among all wage groups. However, the return to education in Korea is relatively low when compared to labor markets in the US and other countries. This difference may be explained partly by the fact that the Korean education system does not provide necessary job skills for workers. Female workers are significantly underpaid compared to their male counterparts. Union premiums increase for higher quantile wage groups, but lower quantile wage groups do not appear to enjoy comparable union premiums.
#Korean labor market #Quantile regression #Korean Labor and Income Panel Study

Contents

영어 초록
1. INTRODUCTION
2. EMPIRICAL MODEL AND DATA DESCRIPTION
3. EMPIRICAL RESULTS
REFERENCES

References (19)

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Acemoglu , , Technical Change^Inequality and Labor Market 40 (1) : 7 ~ 72 google schola Autor , 1998 , Computing Inequality: Have Computers Changed the Labor Market? (114) : 1169 ~ 1213 google schola Bils M , 2000 , Does Schooling Cause Growth? 90 : 1160 ~ 1183 google schola Boston , 1990 , New Evidence from a Study of Four Race-Gender Groups : 99 ~ 115 google schola Bresnahan , 2002 , Information Technology Workplace Organizationand the Demand for Skilled Labor: Firm Level Evidence (118) : 339 ~ 379 google schola

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