Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-28T04:58:35.973Z Has data issue: false hasContentIssue false

Demand Uncertainty and Labour Input in a Bivariate ARCH-M Model

Published online by Cambridge University Press:  17 August 2016

Gebhard Flaig*
Affiliation:
Universität Augsburg
Get access

Summary

This paper analyses the impact of input uncertainty on labour demand. An ARCH-M model is incorporated into an error-correction framework which allows to model both short- and long-run labour demand. The conditional variance of unexpected output changes serves as a proxy for demand uncertainty. The output and employment equations are estimated simultaneously for the West-German manufacturing sector.

Résumé

Résumé

Cet article analyse l'impact sur la demande de travail d'une incertitude sur les inputs. L'intégration d'un modèle ARCH-M dans un mécanisme de correction d'erreur permet de modéliser la demande de travail à la fois à court et à long terme. La variance conditionnelle des changements de production non-anticipés permet d'aproximer l'incertitude sur la demande. Les équations de production et d'emploi sont estimées simultanément pour le secteur manufacturier ouest-allemand.

Keywords

Type
Part I: Labour Demand and Supply
Copyright
Copyright © Université catholique de Louvain, Institut de recherches économiques et sociales 1992 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

(*)

I thank seminar participants at the Free University of Berlin and three referees for helpful comments.

References

REFERENCES

Aiginger, K. (1987), Production and Decision Theory under Uncertainty. Oxford, Basil Blackwell.Google Scholar
Bollerslev, T. (1986), Generalized Autoregressive Conditional Heteroscedasticity, Journal of Econometrics, vol. 31, pp. 307327.Google Scholar
Bollerslev, T., Engle, R.F. and Wooldrige, J.M. (1988), A Capital Asset Pricing Model with Time-varying Covariances, Journal of Political Economy, vol. 96, pp. 116131.Google Scholar
Callen, T.S., Hall, S.G. and Henry, S.G.B. (1990), Manufacturing Stocks: Expectations, Risk and Co-integration, Economic Journal, vol. 100, pp. 756772.Google Scholar
Demers, M. (1991), Investment under Uncertainty, Irreversibility and the Arrival of Information Over Time, Review of Economic Studies, vol. 58, pp. 333350.Google Scholar
Dixit, A. (1992), Investment and Hysteresis. Journal of Economic Perspectives, vol. 6, pp. 107132.Google Scholar
Dorfman, J.H. and Heien, D. (1989), The Effects of Uncertainty and Adjustment Costs on Investment in the Almond Industry, Review of Economics and Statistics, vol. 71, pp. 263274.Google Scholar
Engle, R.F. (1982), Autoregressive Conditional Heteroscedasticity With Estimates of the Variance of United Kingdom Inflations, Econometrica, vol. 50, pp. 9871008.Google Scholar
Engle, R.F. and Granger, C.W. (1987), Co-Integration and Error Correction: Representation, Estimation and Testing. Econometrica, vol. 55, pp. 251276.Google Scholar
Engle, R.F., Granger, C.W.J. and Hallman, J.J. (1989), Merging Short- and Long-Run Forecasts. An Application of Seasonal Cointegration to Monthly Electricity Sales Forecasts, Journal of Econometrics, vol. 40, pp. 4562.Google Scholar
Engle, R.F., Lilien, D.M. and Robins, R.P. (1987), Estimating Time Varying Risk Premia in the Term Structure: The ARCH-M Model, Econometrica, vol. 55, pp. 391407.Google Scholar
Flaig, G. and Steiner, V. (1989), Stability and Dynamic Properties of Labour Demand in West German Manufacturing, Oxford Bulletin of Economics and Statistics, vol. 51, pp. 395412.Google Scholar
Ghosal, V. (1991), Demand Uncertainty and the Capital-Labour Ratio: Evidence from the U.S. Manufacturing Sector, Review of Economics and Statistics, vol. 73, pp. 157161.Google Scholar
Hartman, R. (1976), Factor Demand with Output Price Uncertainty. American Economic Review, vol. 66, pp. 675681.Google Scholar
Hey, J.D. (1979), Uncertainty in Microeconomics, Oxford, Martin Robertson.Google Scholar
Ilmankunnas, P. (1990), Testing the Order of Differencing in Quarterly Data: An Illustration of the Testing Sequence, Oxford Bulletin of Economics and Statistics, vol. 52, pp. 7988.Google Scholar
Johansen, S. and Juselius, K. (1990), Maximum Likelihood Estimation and Inference on Co integration - With Applications to the Demand for Money, Oxford Bulletin of Economics and Statistics, vol. 52, pp. 169210.Google Scholar
Nichel, S. (1985), Dynamic Models of Labour Demand, in: Ashenfelter, O., and Layard, R. (eds), Handbook of Labour Economics, Amsterdam, North Holland.Google Scholar
Osboen, D.R., Chiu, A.P.L., Smith, J.F. and Bihchenhall, C.R. (1988), Seasonallity and the Order of Integration for Consumption, Oxford Bulletin of Economics and Statistics, vol. 50 pp. 361377.Google Scholar
Pagan, A. and Ullah, A. (1988), The Econometric Analysis of Models with Risk Terms, Journal of Applied Econometrics, vol. 3, pp. 87105.Google Scholar
Pindyck, R.S. (1982), Adjustment Costs, Uncertainty, and the Behavior of the Firm, American Economic Review, vol. 72, pp. 415427.Google Scholar
Pindyck, R.S. (1991), Irreversibility, Uncertainty, and Investment, Journal of Economic Literature, vol. 29, pp. 11101148.Google Scholar
Stock, J.H. (1987), Asymptotic Properties of Least Squares Estimators of Cointegration Vectors, Econometrica, vol. 55, pp. 10351056.Google Scholar