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Jobless recoveries and time variation in labor markets

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  • Panovska, Irina
  • Zhang, Licheng

Abstract

We study the nature of changes in the relationship between the labor market and output by using a broader set of labor market variables and a flexible time-varying-parameter vector autoregression model with stochastic volatility (TVP-SV). Overall, the TVP-SV model fits the labor market data well and has good predictive performance. We find heterogeneity both in the timing and the type of changes in the relationship between labor market variables and output. We find evidence that the relationship between output and employment growth, hours, vacancies, and wages has changed over time, with employment, wages, and vacancies being less responsive over time. In contrast, the responses of hours and part-time employment to output have become stronger over time, indicating a shift towards utilization of the intensive margin and towards utilizing more flexible labor inputs.

Suggested Citation

  • Panovska, Irina & Zhang, Licheng, 2024. "Jobless recoveries and time variation in labor markets," Journal of Macroeconomics, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:jmacro:v:81:y:2024:i:c:s0164070424000387
    DOI: 10.1016/j.jmacro.2024.103623
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    More about this item

    Keywords

    Business cycles; Employment; Jobless recovery; Time-varying vector autoregression;
    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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