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A demand system for input factors when there are technological changes in production

  • Håvard Hungnes

    ()

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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File URL: http://hdl.handle.net/10.1007/s00181-010-0346-y
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Article provided by Springer in its journal Empirical Economics.

Volume (Year): 40 (2011)
Issue (Month): 3 (May)
Pages: 581-600

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Handle: RePEc:spr:empeco:v:40:y:2011:i:3:p:581-600
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  1. Rainer Klump & Peter McAdam & Alpo Willman, 2007. "The long-term sucCESs of the neoclassical growth model," Oxford Review of Economic Policy, Oxford University Press, vol. 23(1), pages 94-114, Spring.
  2. Saikkonen, Pentti & L tkepohl, Helmut, 1999. "Local Power Of Likelihood Ratio Tests For The Cointegrating Rank Of A Var Process," Econometric Theory, Cambridge University Press, vol. 15(01), pages 50-78, February.
  3. 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.
  4. Slade, Margaret E., 1989. "Modelling stochastic and cyclical components of technical change : An application of the Kalman filter," Journal of Econometrics, Elsevier, vol. 41(3), pages 363-383, July.
  5. Doornik, Jurgen A, 1998. " Approximations to the Asymptotic Distributions of Cointegration Tests," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 573-93, December.
  6. RICHARD, Jean-François, . "Models with several regimes and changes in exogeneity," CORE Discussion Papers RP -392, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  7. Håvard Hungnes, 2005. "Identifying Structural Breaks in Cointegrated VAR Models," Discussion Papers 422, Statistics Norway, Research Department.
  8. Arvid Raknerud & Terje Skjerpen & Anders Rygh Swensen, 2003. "A linear demand system within a Seemingly Unrelated Time Series Equation framework," Discussion Papers 345, Statistics Norway, Research Department.
  9. Harbo, Ingrid, et al, 1998. "Asymptotic Inference on Cointegrating Rank in Partial Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 388-99, October.
  10. repec:cup:cbooks:9780521537469 is not listed on IDEAS
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