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Econometric Issues and Methods in the Estimation of Production Functions

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  • Aguirregabiria, Victor

Abstract

This paper discusses the main econometric issues in the identification and estimation of production functions, and reviews recent methods. The main emphasis of the paper is in explaining the role of different identifying assumptions used in alternative estimation methods.

Suggested Citation

  • Aguirregabiria, Victor, 2009. "Econometric Issues and Methods in the Estimation of Production Functions," MPRA Paper 15973, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:15973
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    1. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    2. Stephen Bond & Måns Söderbom, 2005. "Adjustment Costs and the Identification of Cobb Douglas Production Functions," Economics Papers 2005-W04, Economics Group, Nuffield College, University of Oxford.
    3. Evans, David S, 1987. "The Relationship between Firm Growth, Size, and Age: Estimates for 100 Manufacturing Industries," Journal of Industrial Economics, Wiley Blackwell, vol. 35(4), pages 567-581, June.
    4. 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.
    5. Yair Mundlak, 1961. "Empirical Production Function Free of Management Bias," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 43(1), pages 44-56.
    6. Victor Aguirregabiria & Cesar Alonso-Borrego, 2014. "Labor Contracts And Flexibility: Evidence From A Labor Market Reform In Spain," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 930-957, April.
    7. Bond, Stephen & Van Reenen, John, 2007. "Microeconometric Models of Investment and Employment," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 65, Elsevier.
    8. Alonso-Borrego, César & Sánchez Mangas, Rocío, 2001. "GMM estimation of a production function with panel data : an application to Spanish manufacturing firms," DES - Working Papers. Statistics and Econometrics. WS ws015527, Universidad Carlos III de Madrid. Departamento de Estadística.
    9. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    10. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
    11. 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.
    12. 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.
    13. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    14. 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.
    15. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    16. Yatchew,Adonis, 2003. "Semiparametric Regression for the Applied Econometrician," Cambridge Books, Cambridge University Press, number 9780521812832.
    17. 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.
    18. Stephen Bond & Måns Söderbom, 2005. "Adjustment Costs and the Identification of Cobb Douglas Production Functions," Economics Series Working Papers 2005-W04, University of Oxford, Department of Economics.
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    4. Audretsch, David B. & Kritikos, Alexander S. & Schiersch, Alexander, 2020. "Microfirms and innovation in the service sector," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 997-1018.
    5. Piotr Gabrielczak & Tomasz Serwach, 2014. "Produktywnosc a ekspansja miedzynarodowa przedsiebiorstw. Przypadek wojewodztwa lodzkiego / Firms’ productivity and their international expansion. The case of Lodz voivodeship," International Economics, University of Lodz, Faculty of Economics and Sociology, issue 5, pages 7-28, March.
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    8. Audretsch, David & Hafenstein, Marian & Kritikos, Alexander S. & Schiersch, Alexander, 2018. "Firm Size and Innovation in the Service Sector," IZA Discussion Papers 12035, Institute of Labor Economics (IZA).
    9. Jaison Chireshe, 2021. "Finance and Renewable Energy Development Nexus: Evidence from Sub-Saharan Africa," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 318-325.
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    11. Piras , Romano & Etzo, Ivan & Massidda, Carla & Mattana, Paolo, 2021. "A Panel SVAR Analysis of the Long-Run Economic Impacts of Migration," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 74(2), pages 197-224.
    12. Hirokazu Mizobata, 2018. "Firm Heterogeneity and the Dynamics of Credit Rationing in Japan," KIER Working Papers 1000, Kyoto University, Institute of Economic Research.
    13. Jaison Chireshe & Matthew K. Ocran, 2020. "Health care expenditure and health outcomes in sub‐Saharan African countries," African Development Review, African Development Bank, vol. 32(3), pages 349-361, September.
    14. Alokesh Barua & Bishwanath Goldar & Himani Sharma & Priyanta Ghosh, 2017. "Do Technological Conditions of Production Explain Industrial Growth? The Indian Manufacturing, 1998–1999 to 2007–2008," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(3), pages 509-541, September.
    15. Chi Huu Nguyen & Christophe J. Nordman, 2018. "Household Entrepreneurship and Social Networks: Panel Data Evidence from Vietnam," Journal of Development Studies, Taylor & Francis Journals, vol. 54(4), pages 594-618, April.
    16. Ruiz-Castillo, Javier, 2016. "Research output indicators are not productivity indicators," UC3M Working papers. Economics we1601, Universidad Carlos III de Madrid. Departamento de Economía.
    17. Richter, Philipp M. & Schiersch, Alexander, 2017. "CO2 emission intensity and exporting: Evidence from firm-level data," European Economic Review, Elsevier, vol. 98(C), pages 373-391.
    18. Piotr Gabrielczak & Tomasz Serwach, 2016. "Firm-level productivity and international expansion of firms from the Lodz Voivodeship," Lodz Economics Working Papers 7/2016, University of Lodz, Faculty of Economics and Sociology.
    19. Sieg, Holger & Zhang, Jipeng, 2012. "The importance of managerial capacity in fundraising: Evidence from land conservation charities," International Journal of Industrial Organization, Elsevier, vol. 30(6), pages 724-734.
    20. Piotr Gabrielczak & Tomasz Serwach, 2014. "The Link between Firm-Level Productivity and Decisions to Export," Theory Methodology Practice (TMP), Faculty of Economics, University of Miskolc, vol. 10(01), pages 3-8.
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    22. Germeshausen, Robert, 2018. "The European Union emissions trading scheme and fuel efficiency of fossil fuel power plants in Germany," ZEW Discussion Papers 18-007, ZEW - Leibniz Centre for European Economic Research.

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    More about this item

    Keywords

    Production Function Estimation. Dynamic Panel Data Models. Endogeneity. Sample Selection.;

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

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