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Abstract ▼ AI-Helper

This paper empirically examines the reemployment pattern (full-time versus part-time reemployment) using pooling 6 year data of Korean Labor and Income Panel Study (KLIPS, 1998-2003). A discrete data analysis (multi-nominal logistic regression) is adopted to identify variables predicting reemploymen...

This paper empirically examines the reemployment pattern (full-time versus part-time reemployment) using pooling 6 year data of Korean Labor and Income Panel Study (KLIPS, 1998-2003). A discrete data analysis (multi-nominal logistic regression) is adopted to identify variables predicting reemployment pattern. Among those who lose full-time or part-time job in previous year, women and older people are found to have both longer unemployment durations and lower probabilities of full-time reemployment (versus either each of part-time reemployment or unemployment) than men and younger people. Therefore, the future labor market policy should be more associated with the one for reducing these gender and age differences in worker characteristics.

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