Measuring Unemployment Risk

FEDS Notes Pub Date : 2024-03-01 DOI:10.17016/2380-7172.3453
Brendan J. Chapuis, John Coglianese
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Abstract

In this note, we introduce a measure of unemployment risk, the likelihood of a worker becoming unemployed within the next twelve months. By using nonparametric machine learning applied to data on millions of workers in the US, we can estimate how unemployment risk varies across individuals and over time.
衡量失业风险
在本说明中,我们介绍了失业风险的衡量标准,即工人在未来 12 个月内失业的可能性。通过将非参数机器学习应用于美国数百万工人的数据,我们可以估算出失业风险在不同个体和不同时期的变化情况。
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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