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Measuring labor supply and demand shocks during COVID-19

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  • Brinca, Pedro
  • Duarte, Joao B.
  • Faria-e-Castro, Miguel

Abstract

We measure labor demand and supply shocks at the sector level around the COVID-19 outbreak by estimating a Bayesian structural vector autoregression on monthly statistics of hours worked and real wages. Most sectors were subject to large negative labor supply and demand shocks in March and April 2020, with substantial heterogeneity in the size of shocks across sectors. Our estimates suggest that two-thirds of the drop in the aggregate growth rate of hours in March and April 2020 are attributable to labor supply. We validate our estimates of supply shocks by showing that they are correlated with sectoral measures of telework.

Suggested Citation

  • Brinca, Pedro & Duarte, Joao B. & Faria-e-Castro, Miguel, 2021. "Measuring labor supply and demand shocks during COVID-19," European Economic Review, Elsevier, vol. 139(C).
    • Handle: RePEc:eee:eecrev:v:139:y:2021:i:c:s0014292121002130
    DOI: 10.1016/j.euroecorev.2021.103901
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    More about this item

    Keywords

    Supply and demand shocks; COVID-19; Structural vector autoregressions; Sign restrictions;
    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
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General

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