Correcting for biases when estimating production functions: an illusion of the laws of algebra?
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 s imply 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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Volume (Year): 32 (2008)
Issue (Month): 3 (May)
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- James Levinsohn & Amil Petrin, 2003.
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- Haijime Katayama & Shihua Lu & James Tybout, 2003. "Why Plant-Level Productivity Studies are Often Misleading, and an Alternative Approach to Interference," NBER Working Papers 9617, National Bureau of Economic Research, Inc.
- Wibe, Soren A, 1984. "Engineering Production Functions: A Survey," Economica, London School of Economics and Political Science, vol. 51(204), pages 401-11, November.
- Shaikh, Anwar, 1974. "Laws of Production and Laws of Algebra: The Humbug Production Function," The Review of Economics and Statistics, MIT Press, vol. 56(1), pages 115-20, February.
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