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.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
3229.
Length: Date of creation: Mar 1991 Date of revision: Handle: RePEc:nbr:nberwo:3229
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Robert G. King & Julia K. Thomas, 2006.
"Partial Adjustment Without Apology,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(3), pages 779-809, 08.
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