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The Impact of Capital Measurement Error Correction on Firm-Level Production Function Estimation

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  • Lubomir Lizal

    ()

  • Kamil Galuščák

    ()

Abstract

Based on a large panel of Czech manufacturing firms, we estimate firm-level production functions in 2003–2007 using the Levinsohn and Petrin (2003) and Wooldridge (2009) approaches, correcting for the measurement error in capital. We show that measurement error plays a significant role in the size of the estimated capital coefficient. The capital coefficient estimate approximately doubles (depending on the particular industry) when we control for capital measurement error. Consequently, while the majority of industries exhibit constant or (in)significantly decreasing returns to scale when the standard methods are used, increasing returns cannot be rejected in some industries when the estimation is corrected for capital measurement error.

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File URL: http://www.wdi.umich.edu/files/Publications/WorkingPapers/wp1026.pdf
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Bibliographic Info

Paper provided by William Davidson Institute at the University of Michigan in its series William Davidson Institute Working Papers Series with number wp1026.

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Length: pages
Date of creation: 01 Jan 2012
Date of revision:
Handle: RePEc:wdi:papers:2012-1026

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Keywords: Measurement error; capital; firm-level data; Czech Republic.;

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  1. Gábor Kátay & Zoltán Wolf, 2008. "Driving Factors of Growth in Hungary - a Decomposition Exercise," MNB Working Papers 2008/6, Magyar Nemzeti Bank (the central bank of Hungary).
  2. Rumen Dobrinsky & Gábor Korösi & Nikolay Markov & László Halpern, 2004. "Firms’ Price Markups and Returns to Scale in Imperfect Markets: Bulgaria and Hungary," William Davidson Institute Working Papers Series 2004-710, William Davidson Institute at the University of Michigan.
  3. Kamil Galuscak & Daniel Munich, 2005. "Structural and Cyclical Unemployment: What Can We Derive from the Matching Function?," Working Papers 2005/02, Czech National Bank, Research Department.
  4. Dana Hajkova, 2008. "The Measurement of Capital Services in the Czech Republic," Working Papers 2008/11, Czech National Bank, Research Department.
  5. Vladislav Flek & Mojmír Hájek & Jaromír Hurník & Ladislav Prokop & Lenka Racková, 2001. "Supply-side performance and structure," Politická ekonomie, University of Economics, Prague, vol. 2001(6).
  6. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
  7. Kamil Dybczak & Vladislav Flek & Dana Hajkova & Jaromir Hurnik, 2006. "Supply-Side Performance and Structure in the Czech Republic (1995-2005)," Working Papers 2006/4, Czech National Bank, Research Department.
  8. Carmine Ornaghi, 2006. "Assessing the effects of measurement errors on the estimation of production functions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 879-891.
  9. Dietrich Earnhart & Lubomir Lizal, 2010. "Pollution Control in a Transition Economy: Do Firms Face Economies and/or Diseconomies of Scale?," CERGE-EI Working Papers wp405, The Center for Economic Research and Graduate Education - Economic Institute, Prague.
  10. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
  11. Adam Gersl & Ieva Rubene & Tina Zumer, 2007. "Foreign Direct Investment and Productivity Spillovers: Updated Evidence from Central and Eastern Europe," Working Papers 2007/8, Czech National Bank, Research Department.
  12. Dietrich Earnhart & Lubomir Lizal, 2006. "Pollution, Production, and Sectoral Differences in a Transition Economy," Comparative Economic Studies, Palgrave Macmillan, vol. 48(4), pages 662-681, December.
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Cited by:
  1. Štěpán Jurajda & Juraj Stančík, 2013. "Organization and Firm Performance in the Czech Republic," Prague Economic Papers, University of Economics, Prague, vol. 2013(1), pages 85-110.

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