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

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Part of the book series: Studies in Empirical Economics ((STUDEMP))

Abstract

Despite a vast theoretical literature on the impact of uncertainty on the optimal choice of output and factor inputs empirical applications are still rare. The reason may be that we have too many models all differing in assumptions about the source of uncertaity (prices of inputs or outputs, productivity, demand), the relevant decision variables, the sequence of decisions, the market structure in which a firm operates etc. In many casess the assumptions are so special and restrictive that we get only some rough hints for an empirical analysis (see Hey, 1979 and Aiginger, 1987). Until recently a further problem was the lack of an econometric method to incorporate uncertainty into structural models of firm behaviour. Due to the progress in the specification and estimation theory of ARCH-models (Engle, 1982)) and ARCM-M models(Bollerslev, Engle and Woodridge, 1987) this obstacle is now greatly removed.

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

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© 1994 Springer-Verlag Berlin Heidelberg

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Flaig, G. (1994). Demand Uncertainty and Labour Input in a Bivariate ARCH-M Model. In: Zimmermann, K.F. (eds) Output and Employment Fluctuations. Studies in Empirical Economics. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57989-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-57989-9_3

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-642-63426-0

  • Online ISBN: 978-3-642-57989-9

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