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Employment Effects of a Sectoral Minimum Wage in Germany: Semi-Parametric Estimations from Cross-Sectional Data
Author(s) -
KaiUwe Müller
Publication year - 2010
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.1691554
Subject(s) - cross sectional data , economics , cross sectional study , wage , minimum wage , parametric statistics , labour economics , econometrics , demographic economics , mathematics , statistics
In this paper employment effects of a sectoral minimum wage in the German construction sector are estimated from a single cross-sectional wage distribution using parametric and semi-parametric models. Parametric functional form assumptions seem too restrictive and lead to implausible results. We suggest semi-parametric censored quantile regression models to relax these assumptions and find that employment levels would be 4-5% higher without the minimum wage in the East German construction sector. That the effect for the West is clearly smaller (only 1-2%) is theoretically plausible, since the level of the minimum wage in East Germany was set much higher in relation to the wage distribution. There is heterogeneity hidden in the mean effect: employment losses are mostly borne by young construction workers, employees not covered by collective bargaining agreements and individuals working in small establishments. Although the paper confirms previous findings of a negative employment effect for East Germany, its magnitude is substantially larger than previously estimated.

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