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A Demand System for Input Factors when there are Technological Changes in Production

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Håvard Hungnes () (Statistics Norway)

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Abstract

In a system with n input factors there are n − 1 independent cost shares. An often-used approach in estimating factor demand systems is to (implicitly or explicitly) assume that there is a (independent) cointegrating relationship for each of the n − 1 independent cost shares. However, due to technological changes there might not be as many cointegrating relationships as there are (independent) cost shares. The paper presents a flexible demand system that allows for both factor neutral technological changes as well as technological changes that affect the relative use of the different factors. The empirical tests indicate that there are fewer cointegrating relationships than usually implied by using conventional estimation approaches. This result is consistent with technological changes. I argue that since such unexplained technological changes are likely to affect input factor decisions, a demand system that allows for such changes should be preferred.

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Paper provided by Research Department of Statistics Norway in its series Discussion Papers with number 556.

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Date of creation: Sep 2008
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Handle: RePEc:ssb:dispap:556

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Related research
Keywords: Factor demand; technological changes; growth rates;

Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity

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  1. Allen, Chris & Urga, Giovanni, 1999. "Interrelated Factor Demands from Dynamic Cost Functions: An Application to the Non-energy Business Sector of the UK Economy," Economica, London School of Economics and Political Science, vol. 66(263), pages 403-13, August. [Downloadable!] (restricted)
  2. Doornik, Jurgen A, 1998. " Approximations to the Asymptotic Distributions of Cointegration Tests," Journal of Economic Surveys, Blackwell Publishing, vol. 12(5), pages 573-93, December. [Downloadable!] (restricted)
  3. Arvid Raknerud & Terje Skjerpen & Anders Swensen, 2007. "A linear demand system within a seemingly unrelated time series equations framework," Empirical Economics, Springer, vol. 32(1), pages 105-124, April. [Downloadable!] (restricted)
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  4. Håvard Hungnes, 2005. "Identifying Structural Breaks in Cointegrated VAR Models," Discussion Papers 422, Research Department of Statistics Norway. [Downloadable!]
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