• KDI Journal of Economic Policy
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• v.27 no.2
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• pp.155-203
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• 2005

This paper intends to provide information about whichgroups should receive particular attention from policies aimed at raising participation and employment. A detailed portrait of the diversity of non-employment is presented with description of the extent the under-represented groups stayed in situations of labor inactivity. Also, once in employment, how these groups move from one sector to another is a main interest in the analysis. Using longitudinal data (1998-2002) constructed from 'the economically active population survey', I followed individuals over a five-year period and analyzed how frequently inactive persons enter the labor market and how they change industries and statuses.

• Journal of Labour Economics
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• v.24 no.2
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• pp.63-94
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• 2001

Based on the human capital theory, the wage differentials among laborers are generated from the discrepancy of human capital stock which depends on individual laborer's decision. Hence, the wage differentials among laborers or between male and female are not the results of discrimination, but the results of individual choice. But, if the individual choice for human capital stock would be affected by the male-female discrimination, the explanation for male-female wage differentials base on the human capital stock has a bias. Actually, women have experienced in the discrimination on labor market participation due to gravity, parturition, infant rearing. Also, it is a fact that women have been discriminated against men in labor market owing to social, traditional, and cultural discriminations. If woman or her parent will less invest on human capital than man owing to the existence of discrimination in labor market, the 'expected human capital stock' instead of human capital stock will explain male-female wage differentials better. Therefore, in this study, we set up three models; first model includes working hours, industry, occupation, etc which are in general used as explanatory variables for wage decision, second model includes the variables which reflect the traditional human capital stock together with the first model's explanatory variables, third model employes the 'expected human capital stock' instead of traditional human capital stock. From the empirical test, the estimates of discrimination in three models are .93, .60, and, .48 respectively. This result implies that the male-female wage differentials in Korea can be explained by the discrepancy of 'expected human capital stock'. Since the discrepancy in expected human capital stock depend on the disparity in life-cycle labor force participation, male-female wage differentials can largely be attributed to male-female disparity in expected lifetime labor force participation.