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Labor Reallocation, Employment, and Earnings: Vector Autoregression Evidence

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  • Henry R. Hyatt
  • Tucker S. McElroy

Abstract

We present time series evidence for the USA 1993–2013 on the relationship between labor reallocation, employment, and earnings using a vector autoregression framework. We find that an increase in labor market churn by 1 percentage point predicts that employment will increase by 100,000–560,000 jobs, lowering the unemployment rate by 0.05–0.25 percentage points. Job destruction does not predict changes in employment but a 1 percentage point increase in job destruction leads to an increase in unemployment 0.14–0.42 percentage points. We find mixed results on the relationship between labor reallocation rates and earnings.

Suggested Citation

  • Henry R. Hyatt & Tucker S. McElroy, 2019. "Labor Reallocation, Employment, and Earnings: Vector Autoregression Evidence," LABOUR, CEIS, vol. 33(4), pages 463-487, December.
    • Handle: RePEc:bla:labour:v:33:y:2019:i:4:p:463-487
    DOI: 10.1111/labr.12153
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    Cited by:

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    2. Hahn, Joyce K. & Hyatt, Henry R. & Janicki, Hubert P., 2021. "Job ladders and growth in earnings, hours, and wages," European Economic Review, Elsevier, vol. 133(C).

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