Aggregate Employment Dynamcis and Lumpy Adjustment Costs

54 Pages Posted: 28 Dec 2006 Last revised: 30 Oct 2022

See all articles by Daniel S. Hamermesh

Daniel S. Hamermesh

University of Texas at Austin - Department of Economics; National Bureau of Economic Research (NBER); IZA Institute of Labor Economics

Date Written: January 1990

Abstract

This study examines what one can infer from aggregate time-series of employment under the assumption that adjustment at the micro level is discrete because of lumpy adjustment costs. The research uses various sets of quarterly and monthly data for the United States and imposes assumptions about how sectoral dispersion in output shocks affects adjustment through aggregation. I find no consistent evidence of any effect of sectoral shocks on the path of aggregate employment. I generate artificial aggregate time series from microeconomic processes in which firms adjust employment discretely. They produce the same inferences as the actual data. Standard methods of estimating equations describing the time path of aggregate employment yield inferences about differences in the size of adjustment costs that are incorrect and inconsistent with the true differences at the micro level. This simulation suggests that the large literature on employment dynamics based on industry or macro data cannot inform us about the size of adjustment costs, and that such data cannot yield useful information on variations in adjustment costs over time or among countries.

Suggested Citation

Hamermesh, Daniel S., Aggregate Employment Dynamcis and Lumpy Adjustment Costs (January 1990). NBER Working Paper No. w3229, Available at SSRN: https://ssrn.com/abstract=468366

Daniel S. Hamermesh (Contact Author)

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