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Firm market value and production technology

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  • Fan, Maoyong
  • Firestone, Simon

Abstract

This paper estimates the production technology of the U.S. computer industry using firm market value to control for the correlation between inputs and unobservable productivity shocks. We show that firm market value can serve as a proxy for unobservable productivity shocks. We also show that firm market value is robust as a proxy when firm faces uncertainties and capital market imperfections. Empirical results suggest that our firm market value proxy works well for the computer industry.

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Bibliographic Info

Article provided by Elsevier in its journal International Journal of Industrial Organization.

Volume (Year): 28 (2010)
Issue (Month): 5 (September)
Pages: 434-440

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Handle: RePEc:eee:indorg:v:28:y:2010:i:5:p:434-440

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Web page: http://www.elsevier.com/locate/inca/505551

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Keywords: Empirical industrial organization Production functions Computer industry;

References

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  1. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45 National Bureau of Economic Research, Inc.
  2. Andrew B. Abel & Janice C. Eberly, 1993. "A Unified Model of Investment Under Uncertainty," NBER Working Papers 4296, National Bureau of Economic Research, Inc.
  3. Klette, Tor Jakob & Griliches, Zvi, 1996. "The Inconsistency of Common Scale Estimators When Output Prices Are Unobserved and Endogenous," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(4), pages 343-61, July-Aug..
  4. G. Steven Olley & Ariel Pakes, 1992. "The Dynamics of Productivity in the Telecommunications Equipment Industry," NBER Working Papers 3977, National Bureau of Economic Research, Inc.
  5. Ackerberg, Daniel & Lanier Benkard, C. & Berry, Steven & Pakes, Ariel, 2007. "Econometric Tools for Analyzing Market Outcomes," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 63 Elsevier.
  6. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
  7. Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
  8. Jerome Adda & Russell W. Cooper, 2003. "Dynamic Economics: Quantitative Methods and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012014, December.
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