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Dynamic labour demand using error correction model

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  • Yasuo Nakanishi

Abstract

Using a new econometric model, this study provides evidence that contradicts previous assertions about the Japanese labour market. The interrelationship between employment and hours of labour is stressed in this analysis by explicitly dividing labour input into both employment and labour hours. This model enables results to be obtained through both simulation and estimation, which allow measurement of adjustment speeds and elasticity in both employment and labour hours to wages. The results of the simulations are as follows. No apparent difference in adjustment speeds between employment and hours of labour was found. The adjustment of hours of labour is more cyclical and overshoots whereas that of employment is smoother. The adjustment speed of each simulation is slower than that found in most previous studies in the present long-run simulation. It is not as slow in the short-run and policy simulations. Therefore, adjustment speeds strongly depend on the method of simulation.

Suggested Citation

  • Yasuo Nakanishi, 2001. "Dynamic labour demand using error correction model," Applied Economics, Taylor & Francis Journals, vol. 33(6), pages 783-790.
  • Handle: RePEc:taf:applec:v:33:y:2001:i:6:p:783-790 DOI: 10.1080/00036840121883
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    References listed on IDEAS

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    1. 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.
    2. Doornik, Jurgen A & Hendry, David F & Nielsen, Bent, 1998. " Inference in Cointegrating Models: UK M1 Revisited," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 533-572, December.
    3. Nielsen, Bent & Rahbek, Anders, 2000. " Similarity Issues in Cointegration Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 62(1), pages 5-22, February.
    4. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    5. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", pages 106-135.
    6. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107.
    7. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", pages 106-135.
    8. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    Cited by:

    1. Elena Vakulenko, 2013. "Labour Market Analysis using Time Series Models: Russia 1999-2011," Quaderni del Dipartimento di Economia, Finanza e Statistica 120/2013, Università di Perugia, Dipartimento Economia.

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