论文标题
劳动经济学中应用的可变选择和错误发现率控制的管道
A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics
论文作者
论文摘要
我们向经济学家介绍用于控制变量选择的工具。特别是，我们将最近引入的错误发现率（FDR）控制的汇总计划应用于德国的行政数据，以确定与妇女职业成果相关的个人就业历史的一部分。我们的结果表明，可以根据一小部分变量（例如每日收入，工资增加，与高等教育，就业状况和工作经验相结合）来预测职业成果。
We introduce tools for controlled variable selection to economists. In particular, we apply a recently introduced aggregation scheme for false discovery rate (FDR) control to German administrative data to determine the parts of the individual employment histories that are relevant for the career outcomes of women. Our results suggest that career outcomes can be predicted based on a small set of variables, such as daily earnings, wage increases in combination with a high level of education, employment status, and working experience.
