July 22, 2020
By: |
Borjas, George J. (Harvard University); Cassidy, Hugh (Kansas State University) |
Abstract: |
Employment rates in the United States fell dramatically between February 2020 and April 2020 as the initial repercussions of the COVID-19 pandemic reverberated through the labor market. This paper uses data from the CPS Basic Monthly Files to document that the employment decline was particularly severe for immigrants. Historically, immigrant men were more likely to be employed than native men. The COVID-related labor market disruptions eliminated the immigrant employment advantage. By April 2020, immigrant men had lower employment rates than native men. The reversal occurred both because the rate of job loss for at-work immigrant men rose relative to that of natives, and because the rate at which out-of-work immigrants could find jobs fell relative to the native job-finding rate. A small part of the relative increase in the immigrant rate of job loss arises because immigrants were less likely to work in jobs that could be performed remotely and suffered disparate employment consequences as the lockdown permitted workers with more “remotable” skills to continue their work from home. |
Keywords: |
immigration, labor supply, COVID-19 |
JEL: |
J21 J61 |
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URL: |
http://d.repec.org/n?u=RePEc:iza:izadps:dp13277&r=ltv |
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July 1, 2020
By: |
Burkhauser, Richard V. (Cornell University); Herault, Nicolas (Melbourne Institute of Applied Economic and Social Research); Jenkins, Stephen P.(London School of Economics); Wilkins, Roger (Melbourne Institute of Applied Economic and Social Research) |
Abstract: |
The share of women in the top 1% of the UK’s income distribution has been growing over the last two decades (as in several other countries). Our first contribution is to account for this secular change using regressions of the probability of being in the top 1%, fitted separately for men and women, in order to contrast between the sexes the role of changes in characteristics and changes in returns to characteristics. We show that the rise of women in the top 1% is primarily accounted for by their greater increases (relative to men) in the number of years spent in full-time education. Although most top income analysis uses tax return data, we derive our findings taking advantage of the much more extensive information about personal characteristics that is available in survey data. Our use of survey data requires justification given survey under-coverage of top incomes. Providing this justification is our second contribution. |
Keywords: |
Top 1%, top incomes, inequality, gender differences, survey under-coverage |
JEL: |
D31 J16 C81 |
Date: |
2020–06 |
URL: |
http://d.repec.org/n?u=RePEc:iza:izadps:dp13359&r=ltv |
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