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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w28399 |
来源ID | Working Paper 28399 |
Seeing Beyond the Trees: Using Machine Learning to Estimate the Impact of Minimum Wages on Labor Market Outcomes | |
Doruk Cengiz; Arindrajit Dube; Attila S. Lindner; David Zentler-Munro | |
发表日期 | 2021-02-01 |
出版年 | 2021 |
语种 | 英语 |
摘要 | We assess the effect of the minimum wage on labor market outcomes such as employment, unemployment, and labor force participation for most workers affected by the policy. We apply modern machine learning tools to construct demographically-based treatment groups capturing around 75% of all minimum wage workers—a major improvement over the literature which has focused on fairly narrow subgroups where the policy has a large bite (e.g., teens). By exploiting 172 prominent minimum wages between 1979 and 2019 we find that there is a very clear increase in average wages of workers in these groups following a minimum wage increase, while there is little evidence of employment loss. Furthermore, we find no indication that minimum wage has a negative effect on the unemployment rate, on the labor force participation, or on the labor market transitions. Furthermore, we detect no employment or participation responses even for sub-groups that are likely to have a high extensive margin labor supply elasticity—such as teens, older workers, or single mothers. Overall, these findings provide little evidence for changing search effort in response to a minimum wage increase. |
主题 | Labor Economics ; Labor Compensation |
URL | https://www.nber.org/papers/w28399 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/586073 |
推荐引用方式 GB/T 7714 | Doruk Cengiz,Arindrajit Dube,Attila S. Lindner,et al. Seeing Beyond the Trees: Using Machine Learning to Estimate the Impact of Minimum Wages on Labor Market Outcomes. 2021. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w28399.pdf(807KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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