Employment Effects of a Sectoral Minimum Wage in Germany: Semi-Parametric Estimations from Cross-Sectional Data
Employment Effects of a Sectoral Minimum Wage in Germany: Semi-Parametric Estimations from Cross-Sectional Data
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德国部门最低工资对就业的影响：来自横截面数据的半参数估计
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Kai
中科院分区：
文献类型：
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作者：
Kai
在本文中，在德国建筑业的部门最低工资的就业效果估计从一个单一的横截面工资分布参数和半参数模型。参数化的函数形式假设似乎过于严格，导致不可信的结果。我们建议半参数删失分位数回归模型来放松这些假设，并发现就业水平将高出4-5%，没有最低工资在东德建筑业。对西部的影响显然较小（仅为1-2%），这在理论上是合理的，因为与工资分配相比，德国东部的最低工资水平要高得多。平均效应中隐藏着异质性：就业损失主要由年轻的建筑工人、集体谈判协议未涵盖的雇员和在小企业工作的个人承担。虽然该文件证实了以前的研究结果的负面就业影响的东德国，其幅度大大大于以前的估计。
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.