Search, Matching and Training

C. Flinn, Ahu Gemici, Steven Laufer
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引用次数: 15

Abstract

We estimate a partial and general equilibrium search model in which firms and workers choose how much time to invest in both general and match-specific human capital. To help identify the model parameters, we use NLSY data on worker training and we match moments that relate the incidence and timing of observed training episodes to outcomes such as wage growth and job-to-job transitions. We use our model to offer a novel interpretation of standard Mincer wage regressions in terms of search frictions and returns to training. Finally, we show how a minimum wage can reduce training opportunities and decrease the amount of human capital in the economy.
搜索,匹配和培训
我们估计了一个部分均衡和一般均衡搜索模型,在这个模型中,企业和工人选择在一般人力资本和匹配特定人力资本上投入多少时间。为了帮助确定模型参数,我们使用NLSY关于工人培训的数据,并将观察到的培训事件的发生率和时间与工资增长和工作转换等结果相关联的时刻进行匹配。我们使用我们的模型在搜索摩擦和培训回报方面提供了标准Mincer工资回归的新解释。最后,我们展示了最低工资如何减少培训机会,减少经济中人力资本的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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