Part-Time Penalty in Sweden: Evidence from Quantile Regression
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Date
2008-09-15T13:38:57Z
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Abstract
This study analyzes the part-time penalty in Sweden using quantile regression. We find that the estimated part-time wage differential is negative across the whole wage distribution. OLS overestimates the part-time penalty at the bottom of the distribution, and underestimates it at the top. The estimated part-time wage gap rises across the distribution, and there is a sharp acceleration in the increase starting around the 75th percentile, especially for men. Consequently, we find evidence of a glass ceiling in part-time employment for both men and women in the Swedish labor market.
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Part-time penalty, quantile regression, counterfactual distribution, glass ceiling