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How Much Does Immigration Data Explain the Employment‑Gap Puzzle?

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Abstract

A puzzling feature of official U.S. employment statistics in recent years has been the increase in the gap between the nonfarm payroll and household employment numbers. This discrepancy is not trivial. From the end of 2021 though the end of 2024, net job gains in the payroll survey were 3.6 million larger than in the household survey. In this Liberty Street Economics post, we investigate one potential explanation for the emergence of this gap: a sharp rise in undocumented immigration during the post-COVID period that would be differentially reflected in the two surveys. We leverage industry-level data to study the relationship between our estimate of employment of likely undocumented migrants and the payroll-household employment gap. These data suggest that factors besides undocumented immigration likely contributed to the emergence of the gap between the two measures of U.S. employment.

Suggested Citation

  • Richard Audoly & Roshie Xing, 2025. "How Much Does Immigration Data Explain the Employment‑Gap Puzzle?," Liberty Street Economics 20250602, Federal Reserve Bank of New York.
    • Handle: RePEc:fip:fednls:100081
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    More about this item

    Keywords

    employment gap; immigration; statistics;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers

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