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Durées d'utilisation des facteurs et fonction de production : une estimation par la méthode des moments généralisés en système

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  • Florian Pelgrin

    (Faculté des Hautes Etudes Commerciales (HEC))

  • Arnaud Sylvain

    (Centre de Recherche en Développement Economique et Finance Internationale (CEDERS))

  • Eric Heyer

    (OFCE)

Abstract

Depuis le début des années 1960, des travaux ont montré l’importance des degrés d’utilisation des facteurs dans l’analyse économique. L’influence des durées d’utilisation des facteurs dans la combinaison productive reste néanmoins largement méconnue, particulièrement en ce qui concerne la durée d’utilisation des équipements. À partir de données d’entreprises industrielles françaises sur la période 1989-2001, nous estimons une fonction de production Cobb-Douglas tenant compte des volumes de facteurs et des durées d’utilisation. Nous reprenons le cadre défini par Blundell et Bond (2000) en supposant l’existence de chocs autocorrélés permettant une représentation dynamique de la combinaison productive et utilisons comme méthode d’estimation de référence la méthode des moments généralisés en système. Toutes chose égales par ailleurs et sous les hypothèses retenues, il ressort de nos estimations que le travail posté et le capital seraient des substituts parfaits au sein de la combinaison productive.

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Bibliographic Info

Paper provided by Sciences Po in its series Sciences Po publications with number 2003-06.

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Date of creation: Oct 2003
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Handle: RePEc:spo:wpmain:info:hdl:2441/2042

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  11. Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
  12. Martial DUPAIGNE, 2002. "Travail posté et durée d’utilisation des équipements dans les fluctuations économiques," Annales d'Economie et de Statistique, ENSAE, issue 66, pages 235-256.
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  23. repec:fth:inseep:9730 is not listed on IDEAS
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  25. Frank Windmeijer, 2000. "A finite sample correction for the variance of linear two-step GMM estimators," IFS Working Papers W00/19, Institute for Fiscal Studies.
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