变量选择和错误发现率控制管道及其在劳动经济学中的应用
A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics
摘要：
我们向经济学家介绍控制变量选择的工具。特别是，我们应用最近推出的汇总计划，错误发现率（FDR）控制德国的行政数据，以确定部分的个人就业历史，是相关的职业生涯的妇女的结果。我们的研究结果表明，职业成果可以根据一小部分变量来预测，例如每日收入，工资增长与高教育水平，就业状况和工作经验相结合。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
