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Is the decomposition of the technical biased progress realizable with a Cobb-Douglas production function?
[La décomposition des biais de progrès technique est-elle réalisable avec une fonction production Cobb-Douglas ?]

Author

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  • Georges Daw

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

The neo-classic exercise of growth economic accounting for a given country leads to a quantified diagnosis of the characteristics (capital, work, total productivity of the factors) of this growth while working with a function of Cobb-Douglas production. In the presence of biased technical progress (i.e. progress not profiting identically with all the productive factors), this function is not able to separately provide the value of each bias, which can disorientate the economic policy. In this paper, we provide theoretical and empirical details necessary in economics of technical progress and precisely on the subject of the technical biased progress. We show then exhaustively and pedagogically why the Cobb-Douglas function does not allow a separate identification of these bias and is condemned to gather them within the Solow residual.

Suggested Citation

  • Georges Daw, 2014. "Is the decomposition of the technical biased progress realizable with a Cobb-Douglas production function? [La décomposition des biais de progrès technique est-elle réalisable avec une fonction prod," Post-Print halshs-01077366, HAL.
  • Handle: RePEc:hal:journl:halshs-01077366
    DOI: 10.1016/j.rgo.2014.05.001
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01077366
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    Keywords

    Fonction Cobb-Douglas; Facteurs de production; Progrès technique; Biais de progrès technique; Résidu de Solow; Parts factorielles; Elasticité de substitution Codes Jel : D24;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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