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Correcting for biases when estimating production functions: an illusion of the laws of algebra?

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  • Jesus Felipe
  • Rana Hasan
  • J. S. L. McCombie

Abstract

This paper argues that the true cause of the endogeneity bias that allegedly appears when estimating production functions, and which the literature has tried to deal with since the 1940s, is simply the result of omitted-variable bias due to an incorrect approximation to an accounting identity. As a result we question recent attempts to solve the problem by developing new estimators.
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Suggested Citation

  • Jesus Felipe & Rana Hasan & J. S. L. McCombie, 2008. "Correcting for biases when estimating production functions: an illusion of the laws of algebra?," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 32(3), pages 441-459, May.
    • Handle: RePEc:oup:cambje:v:32:y:2008:i:3:p:441-459
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    File URL: http://hdl.handle.net/10.1093/cje/bem043
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    Cited by:

    1. Yu, Bingxin & Zhu, Tingju & Breisinger, Clemens & Hai, Nguyen Manh, 2010. "Impacts of climate change on agriculture and policy options for adaptation: The case of Vietnam," IFPRI discussion papers 1015, International Food Policy Research Institute (IFPRI).
    2. Miaojie Yu, 2010. "Processing Trade, Firm's Productivity, and Tariff Reductions : Evidence from Chinese Products," Macroeconomics Working Papers 22799, East Asian Bureau of Economic Research.
    3. Miaojie Yu & Guangliang Ye & Baozhi Qu, 2013. "Trade Liberalisation, Product Complexity and Productivity Improvement: Evidence from Chinese Firms," The World Economy, Wiley Blackwell, vol. 36(7), pages 912-934, July.
    4. Yu, Bingxin & Zhu, Tingju & Breisinger, Clemens & Manh Hai, Nguyen, 2012. "Examine the Agriculture, Poverty, and Climate Change Nexus in Vietnam," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126876, International Association of Agricultural Economists.
    5. João Prates Romero, 2016. "Increasing Returns To Scale, Technological Catch-Up And Research Intensity: An Industry-Level Investigation Combining Eu Klems Productivity Data With Patent Data," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 102, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    6. Zhenyu Zhang & Karina Schoengold, 2011. "Carbon emissions control policies in China's power generation sector," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 3(3), pages 350-368, September.
    7. Parajuli, Ranjan & Østergaard, Poul Alberg & Dalgaard, Tommy & Pokharel, Govind Raj, 2014. "Energy consumption projection of Nepal: An econometric approach," Renewable Energy, Elsevier, vol. 63(C), pages 432-444.
    8. Francisco Javier Sánchez-Vidal, 2023. "A Cautionary Note on the Use of Accounting Semi-Identity-Based Models," JRFM, MDPI, vol. 16(9), pages 1-14, August.
    9. Estola, Matti & Dannenberg, Alia, 2012. "Testing the neo-classical and the Newtonian theory of production," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6519-6527.
    10. Jesus Felipe & John S.L. McCombie, 2013. "The Aggregate Production Function and the Measurement of Technical Change," Books, Edward Elgar Publishing, number 1975, June.
    11. Jesus Felipe & John McCombie & Aashish Mehta, 2025. "Is anything left of the debate about the sources of growth in East Asia 30 years later? A critical survey," Journal of Evolutionary Economics, Springer, vol. 35(2), pages 247-280, April.
    12. Jesus Felipe & John McCombie, 2012. "Aggregate Production Functions and the Accounting Identity Critique: Further Reflections on Temple's Criticisms and Misunderstandings," Economics Working Paper Archive wp_718, Levy Economics Institute.

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