IDEAS home Printed from https://ideas.repec.org/p/bca/bocawp/04-12.html
   My bibliography  Save this paper

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

Author

Listed:
  • Eric Heyer
  • Florian Pelgrin
  • Arnaud Sylvain

Abstract

Although a number of studies have demonstrated the importance of the degree of factor utilization in economic analysis, the impact of the durations of utilization in a production function remains largely unknown, particularly in terms of the duration of equipment utilization. Using French data on industrial firms over the period 1989–2001, the authors estimate a Cobb-Douglas production function that accounts for the volumes and durations of factor utilization. They draw on the framework proposed by Blundell and Bond (2000), assuming that serially correlated shocks allow a dynamic representation of the production function, and they choose the system-generalized method of moments as the reference estimation method. Their estimates yield identical elasticities for shifts of work and capital: the increase in output resulting from doubling the number of work teams is equivalent to that from doubling the stock of capital. Finally, they cannot reject the null hypothesis of constant returns to scale in their sample.

Suggested Citation

  • Eric Heyer & Florian Pelgrin & Arnaud Sylvain, 2004. "Durées d’utilisation des facteurs et fonction de production : une estimation par la méthode des moments généralisés en système," Staff Working Papers 04-12, Bank of Canada.
  • Handle: RePEc:bca:bocawp:04-12
    as

    Download full text from publisher

    File URL: https://www.bankofcanada.ca/wp-content/uploads/2010/02/wp04-12.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    2. M. S. Feldstein, 1967. "Specification of the Labour Input in the Aggregate Production Function," Review of Economic Studies, Oxford University Press, vol. 34(4), pages 375-386.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Ziliak, James P, 1997. "Efficient Estimation with Panel Data When Instruments Are Predetermined: An Empirical Comparison of Moment-Condition Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 419-431, October.
    5. Martial Dupaigne, 2002. "Travail posté et durée d'utilisation des équipements dans les fluctuations économiques," Annals of Economics and Statistics, GENES, issue 66, pages 235-256.
    6. Gilbert Cette, 1990. "Durée d'utilisation des équipements : l'inversion d'une tendance longue," Économie et Statistique, Programme National Persée, vol. 231(1), pages 33-47.
    7. Rosen, Sherwin & Nadiri, M Ishaq, 1974. "A Disequilibrium Model of Demand for Factors of Production," American Economic Review, American Economic Association, vol. 64(2), pages 264-270, May.
    8. 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.
    9. Nadiri, M Ishaq & Rosen, Sherwin, 1969. "Interrelated Factor Demand Functions," American Economic Review, American Economic Association, vol. 59(4), pages 457-471, Part I Se.
    10. Bond, Stephen & Bowsher, Clive & Windmeijer, Frank, 2001. "Criterion-based inference for GMM in autoregressive panel data models," Economics Letters, Elsevier, vol. 73(3), pages 379-388, December.
    11. Anxo, Dominique & Bigsten, Arne, 1989. " Working Hours and Productivity in Swedish Manufacturing," Scandinavian Journal of Economics, Wiley Blackwell, vol. 91(3), pages 613-619.
    12. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    13. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    14. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    15. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    16. repec:crs:wpaper:9730 is not listed on IDEAS
    17. Sylvain, A., 2003. "Lois de mortalité et durées de vie des équipements dans l’industrie," Bulletin de la Banque de France, Banque de France, issue 111, pages 87-101.
    18. Jacques Mairesse & Bronwyn H. Hall, 1996. "Estimating the Productivity of Research and Development: An Exploration of GMM Methods Using Data on French & United States Manufacturing Firms," NBER Working Papers 5501, National Bureau of Economic Research, Inc.
    19. R. J. Ball & E. B. A. St Cyr, 1966. "Short Term Employment Functions in British Manufacturing Industry," Review of Economic Studies, Oxford University Press, vol. 33(3), pages 179-207.
    20. Hart, Robert A. & McGregor, Peter G., 1988. "The returns to labour services in West German manufacturing industry," European Economic Review, Elsevier, vol. 32(4), pages 947-963, April.
    21. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    22. Gilbert Cette, 1983. "Degrés d'utilisation des facteurs et demande d'investissement et de travail," Revue Économique, Programme National Persée, vol. 34(4), pages 756-793.
    23. repec:adr:anecst:y:2002:i:66:p:10 is not listed on IDEAS
    24. Simon Cueva & Éric Heyer, 1997. "Fonction de production et degrés d'utilisation du capital et du travail : une analyse économétrique," Économie et Prévision, Programme National Persée, vol. 131(5), pages 93-111.
    25. Stephen Bond & Céline Nauges & Frank Windmeijer, 2002. "Unit Roots and Identification in Autoregressive Panel Data Models: A Comparison of Alternative Tests," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C5-4, International Conferences on Panel Data.
    26. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    27. Division économie française de l'OFCE & Olivier Brossard & Valérie Chauvin & Gaël Dupont & Eric Heyer & Xavier Timbeau & Françoise Charpin & Hervé Péléraux, 2000. "Croissance.net," Revue de l'OFCE, Programme National Persée, vol. 73(1), pages 115-150.
    28. repec:adr:anecst:y:2002:i:66 is not listed on IDEAS
    29. Roger Craine, 1973. "On the Service Flow from Labour," Review of Economic Studies, Oxford University Press, vol. 40(1), pages 39-46.
    30. Leslie, Derek G & Wise, John, 1980. "The Productivity of Hours in U.K. Manufacturing and Production Industries," Economic Journal, Royal Economic Society, vol. 90(357), pages 74-84, March.
    31. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Florian Pelgrin & Arnaud Sylvain & Eric Heyer, 2004. "Capital operating time and working time in the production function : an evaluation on a panel firms over the period 1989-2001," Working Papers hal-00972838, HAL.
    2. Eric Heyer & Florian Pelgrin & Arnaud Sylvain, 2004. "Capital Operating Time and Working Time in the Production Function: An Evaluation on a Panel of French Firms over the Period 1989-2001," Documents de Travail de l'OFCE 2004-09, Observatoire Francais des Conjonctures Economiques (OFCE).
    3. repec:spo:wpecon:info:hdl:2441/2041 is not listed on IDEAS
    4. repec:spo:wpecon:info:hdl:2441/2042 is not listed on IDEAS
    5. Bertrand, Olivier & Zuniga, Pluvia, 2006. "R&D and M&A: Are cross-border M&A different? An investigation on OECD countries," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 401-423, March.
    6. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    7. Simon Cueva & Éric Heyer, 1997. "Fonction de production et degrés d'utilisation du capital et du travail : une analyse économétrique," Économie et Prévision, Programme National Persée, vol. 131(5), pages 93-111.
    8. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    9. Jean-Louis ARCAND & Béatrice D'HOMBRES, 2002. "Explaining the Negative Coefficient Associated with Human Capital in Augmented Solow Growth Regressions," Working Papers 200227, CERDI.
    10. Angelica Gonzalez, 2007. "Empirical Likelihood: Improved Inference within Dynamic Panel Data Models," Edinburgh School of Economics Discussion Paper Series 154, Edinburgh School of Economics, University of Edinburgh.
    11. Bond, Stephen Roy & Hoeffler, Anke & Temple, Jonathan, 2001. "GMM Estimation of Empirical Growth Models," CEPR Discussion Papers 3048, C.E.P.R. Discussion Papers.
    12. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    13. Jacques Mairesse & Bronwyn H. Hall & Benoît Mulkay, 1999. "Firm-Level Investment in France and the United States: An Exploration of What We Have Learned in Twenty Years," Annals of Economics and Statistics, GENES, issue 55-56, pages 27-67.
    14. Eric Heyer & Florian Pelgrin & Arnaud Sylvain, 2004. "Translog ou Cobb-Douglas? Le rôle des durées d'utilisation des facteurs," Staff Working Papers 04-19, Bank of Canada.
    15. Angelica Gonzalez, 2007. "Angelica Gonzalez," Edinburgh School of Economics Discussion Paper Series 168, Edinburgh School of Economics, University of Edinburgh.
    16. Griet Malengier & Lorenzo Pozzi, 2005. "Examining Ricardian Equivalence by estimating and bootstrapping a nonlinear dynamic panel model," Money Macro and Finance (MMF) Research Group Conference 2005 61, Money Macro and Finance Research Group.
    17. G. Malengier & L. Pozzi, 2004. "Examining Ricardian Equivalence by estimating and bootstrapping a nonlinear dynamic panel model," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/274, Ghent University, Faculty of Economics and Business Administration.
    18. Hujer, Reinhard & Zeiss, Christopher, 2006. "Macroeconomic Effects of Short-Term Training Measures on the Matching Process in Western Germany," IZA Discussion Papers 2489, Institute of Labor Economics (IZA).
    19. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    20. Soderbom, Mans & Teal, Francis, 2004. "Size and efficiency in African manufacturing firms: evidence from firm-level panel data," Journal of Development Economics, Elsevier, vol. 73(1), pages 369-394, February.
    21. Dimitrova-Grajzl, Valentina & Grajzl, Peter & Slavov, Atanas & Zajc, Katarina, 2016. "Courts in a transition economy: Case disposition and the quantity–quality tradeoff in Bulgaria," Economic Systems, Elsevier, vol. 40(1), pages 18-38.
    22. Frondel, Manuel & Kussel, Gerhard & Sommer, Stephan, 2019. "Heterogeneity in the price response of residential electricity demand: A dynamic approach for Germany," Resource and Energy Economics, Elsevier, vol. 57(C), pages 119-134.

    More about this item

    Keywords

    Economic models;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bca:bocawp:04-12. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/bocgvca.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (email available below). General contact details of provider: https://edirc.repec.org/data/bocgvca.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.