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Using common factors to identify substitution possibilities in a factor demand system with technological changes

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I apply a common factor approach to identifying substitution possibilities between input factors in a factor demand system. Technological changes can lead to shifts in the relative use of input factors within an industry. Technological changes can also be common to several industries. If such common shocks are not taken into account, the estimates of the substitution elasticity might be biased. In this paper, I investigate the importance of taking account of technological changes by allowing for different kinds of common factors, both within and between industries. The estimation results show that, if technological changes are not properly taken into account, we obtain unreliable (negative) estimates of the elasticity of substitutions. When taking such changes into account, however, the estimated elasticities of substitution are positive in all the non-government industries in mainland Norway.

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  • Håvard Hungnes, 2016. "Using common factors to identify substitution possibilities in a factor demand system with technological changes," Discussion Papers 849, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:849
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    1. Berndt, Ernst R, 1976. "Reconciling Alternative Estimates of the Elasticity of Substitution," The Review of Economics and Statistics, MIT Press, vol. 58(1), pages 59-68, February.
    2. Coakley, Jerry & Kellard, Neil & Snaith, Stuart, 2005. "The PPP debate: Price matters!," Economics Letters, Elsevier, vol. 88(2), pages 209-213, August.
    3. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
    4. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    5. Abadir,Karim M. & Magnus,Jan R., 2005. "Matrix Algebra," Cambridge Books, Cambridge University Press, number 9780521537469.
    6. Jean‐Pierre Urbain & Joakim Westerlund, 2011. "Least Squares Asymptotics in Spurious and Cointegrated Panel Regressions with Common and Idiosyncratic Stochastic Trends," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(1), pages 119-139, February.
    7. repec:cup:cbooks:9780521822893 is not listed on IDEAS
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    Cited by:

    1. Benedictow, Andreas & Hammersland, Roger, 2020. "A financial accelerator in the business sector of a macroeconometric model of a small open economy," Economic Systems, Elsevier, vol. 44(1).

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    More about this item

    Keywords

    cross-sectional averages;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production

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