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An Empirical Model of Factor Adjustment Dynamics

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  • Contreras, Juan

Abstract

This paper investigates how firms dynamically adjust their use of capital, labor, energy, and materials when there are both smooth and lumpy adjustment possibilities and interrelation among adjustments. The Colombian Annual Census of Manufacturing provides evidence of these kinds of adjustment. The innovation of this paper lies in three areas: in considering the joint adjustment and interrelation of labor and capital at the establishment level; in describing the dynamic adjustment of all the production factors; and in a rich description of adjustment costs, which includes disruption of the production process and reallocation of internal resources, and fixed costs of installing capital and creating or discontinuing a job vacancy. The model also includes both a convex cost component, aimed at capturing smooth adjustments, and congestion effects, which means that it is more costly for firms to adjust capital and labor at the same time than it is to adjust them separately. Using a simulated method of moments, the study finds empirical support for the existence of disruption costs for capital and labor, the existence of convex costs for capital but not for labor, and the existence of congestion effects. An important implication of the model is that, in response to shocks, firms decide to adjust either capital or labor alone or both, depending on the initial capital to labor ratio and the magnitude of the shocks.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 9797.

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Date of creation: Nov 2006
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Handle: RePEc:pra:mprapa:9797

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Keywords: Factor adjustment; capital and employment adjustment; simulated method of moments; capital and employment interaction; adjustment costs;

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References

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Cited by:
  1. Russell Cooper & Jonathan Willis, 2002. "The cost of labor adjustment : inferences from the gap," Research Working Paper, Federal Reserve Bank of Kansas City RWP 02-11, Federal Reserve Bank of Kansas City.
  2. Verona, Fabio, 2013. "Investment dynamics with information costs," Research Discussion Papers, Bank of Finland 18/2013, Bank of Finland.
  3. Faccini, Renato & Ortigueira, Salvador, 2010. "Labor-market volatility in the search-and-matching model: The role of investment-specific technology shocks," Journal of Economic Dynamics and Control, Elsevier, Elsevier, vol. 34(8), pages 1509-1527, August.

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