Divergence in Post-Pandemic Earnings Growth: Evidence from Micro Data

Divergence in Post-Pandemic Earnings Growth: Evidence from Micro Data
Author :
Publisher : International Monetary Fund
Total Pages : 53
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ISBN-10 : 9798400291814
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Divergence in Post-Pandemic Earnings Growth: Evidence from Micro Data by : Sophia Chen

Download or read book Divergence in Post-Pandemic Earnings Growth: Evidence from Micro Data written by Sophia Chen and published by International Monetary Fund. This book was released on 2024-10-11 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: We use a comprehensive employer-employee dataset to examine post-pandemic worker earnings in the US. Our findings reveal that earnings grew faster in counties that were less severely impacted at the onset of the pandemic. This divergence in growth was both substantial and persistent, particularly for lower-paid and nonmanagerial workers, as well as for those in smaller firms. Both wage increases and additional hours contributed to this earnings growth. This evidence aligns with a job-ladder framework, where labor market competition leads to a dispersion of earnings across counties but compresses earnings among workers in counties with strong labor markets. Our findings provide a microfoundation for the wage Phillips curve and have direct implications for stabilization policies.


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