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Dynamic employment adjustments over business cycles

Author Info

Listed author(s):
  • Tung Liu

    ()

    (Department of Economics, Ball State University)

  • Lee C. Spector

    ()

    (Department of Economics, Ball State University)

Abstract

This paper uses U.S. monthly industrial production employment data between 1964 and 2000 to examine the dynamic labor adjustments of production workers and nonproduction workers in both the short and longrun. The results from the short-run analysis show that the dynamic adjustment of production workers is consistent with business cycles. However, the adjustment of nonproduction workers is relatively fixed, lags behind the shocks over business cycle changes, and exhibits the quasi-fixed factor property. In the long-run, we found that nonproduction workers and production workers are cointegrated indicating that the two series are in long-run equilibrium.

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File URL: http://econfac.iweb.bsu.edu/research/workingpapers/bsuecwp200302liu.pdf
File Function: First version, 2003
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Paper provided by Ball State University, Department of Economics in its series Working Papers with number 200302.

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Length: 19 pages
Date of creation: Dec 2003
Date of revision: Jan 2005
Publication status: Published in Empircal Economics, 2005, vol. 30, no. 1, pp. 151-169
Handle: RePEc:bsu:wpaper:200302
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Muncie, Indiana 47306

Phone: (765) 285-5360
Fax: (765) 285-8024
Web page: http://www.bsu.edu/econ

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Keywords: Employment adjustment; business cycles; quasi-fixed labor;

Other versions of this item:

Find related papers by JEL classification:
  • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
  • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
  • J50 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - General

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  1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
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  7. Burnside, Craig & Eichenbaum, Martin & Rebelo, Sergio, 1993. "Labor Hoarding and the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 101(2), pages 245-273, April.
  8. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
  9. Bartel, Ann P & Sicherman, Nachum, 1998. "Technological Change and the Skill Acquisition of Young Workers," Journal of Labor Economics, University of Chicago Press, vol. 16(4), pages 718-755, October.
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  12. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
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  14. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
  15. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
  16. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
  17. Leybourne, S J, 1995. "Testing for Unit Roots Using Forward and Reverse Dickey-Fuller Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(4), pages 559-571, November.
  18. Walter Y. Oi, 1962. "Labor as a Quasi-Fixed Factor," Journal of Political Economy, University of Chicago Press, vol. 70, pages 538-538.
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Cited by:

  1. T√∫lio Cravo, 2011. "Are Small Firms more cyclically Sensitive than Large Ones? National, Regional and Sectoral Evidence from Brazil," ERSA conference papers ersa10p507, European Regional Science Association.
  2. Cravo, Túlio A., 2011. "Are small employers more cyclically sensitive? Evidence from Brazil," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 754-769.

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