Cengiz, Doruk and Dube, Arindrajit and Lindner, Attila and Zentler-Munro, David (2022) Seeing Beyond the Trees: Using Machine Learning to Estimate the Impact of Minimum Wages on Labor Market Outcomes. Journal of Labor Economics, 40 (S1). pp. 203-247. DOI https://doi.org/10.1086/718497
Cengiz, Doruk and Dube, Arindrajit and Lindner, Attila and Zentler-Munro, David (2022) Seeing Beyond the Trees: Using Machine Learning to Estimate the Impact of Minimum Wages on Labor Market Outcomes. Journal of Labor Economics, 40 (S1). pp. 203-247. DOI https://doi.org/10.1086/718497
Cengiz, Doruk and Dube, Arindrajit and Lindner, Attila and Zentler-Munro, David (2022) Seeing Beyond the Trees: Using Machine Learning to Estimate the Impact of Minimum Wages on Labor Market Outcomes. Journal of Labor Economics, 40 (S1). pp. 203-247. DOI https://doi.org/10.1086/718497
Abstract
We assess the effect of the minimum wage on labor market outcomes. First, we apply modern machine learning tools to predict who is affected by the policy. Second, we implement an event study using 172 prominent minimum wage increases between 1979 and 2019. We find a clear increase in wages of affected workers and no change in employment. Furthermore, minimum wage increases have no effect on the unemployment rate, labor force participation, or labor market transitions. Overall, these findings provide little evidence of changing search effort in response to a minimum wage increase.
Item Type: | Article |
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Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Economics, Department of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 14 Oct 2022 11:38 |
Last Modified: | 16 May 2024 21:12 |
URI: | http://repository.essex.ac.uk/id/eprint/33671 |
Available files
Filename: 718497.pdf