광역시·도별 임금격차 실증분석
Empirical analysis of wage differentials by metropolitan cities and Provinces
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초록
This study estimated the wage differentials of 16 metropolitan cities and provinces based on the Occupational Employment Statistics (OES) survey conducted by the Korea Employment Information Service. The OLS regression analysis confirmed that wage premium in Seoul and its surrounding areas existed. In particular, the average monthly wage in Ulsan area was higher than that of Seoul, Gyeonggi and Incheon, when the human capital that affected wages was not controlled. However, when the human capital was controlled, the wage level of Ulsan in terms of net wage differentials was lower than those of Gyeonggi, Incheon and Seoul. When decomposing wage differentials by using Oaxaca decomposition, the wage differential between the labor market in Seoul metropolitan area and non-Seoul metropolitan area was estimated to be 8.15%. The biggest factors that affected wage differentials were education and career variables. The wage discrimination by gender was more serious in non-Seoul metropolitan area than in Seoul metropolitan area.
Abstract
This study estimated the wage differentials of 16 metropolitan cities and provinces based on the Occupational Employment Statistics (OES) survey conducted by the Korea Employment Information Service. The OLS regression analysis confirmed that wage premium in Seoul and its surrounding areas existed. In particular, the average monthly wage in Ulsan area was higher than that of Seoul, Gyeonggi and Incheon, when the human capital that affected wages was not controlled. However, when the human capital was controlled, the wage level of Ulsan in terms of net wage differentials was lower than those of Gyeonggi, Incheon and Seoul. When decomposing wage differentials by using Oaxaca decomposition, the wage differential between the labor market in Seoul metropolitan area and non-Seoul metropolitan area was estimated to be 8.15%. The biggest factors that affected wage differentials were education and career variables. The wage discrimination by gender was more serious in non-Seoul metropolitan area than in Seoul metropolitan area.
참고문헌 (9)
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