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Assessing the effects of measurement errors on the estimation of production functions

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  • Carmine Ornaghi

    (Economics Division, School of Social Sciences, University of Southampton, Southampton, UK)

Abstract

This article explores to what extent the poor results that are often found when estimating parameters of production functions can be attributed to measurement errors, due to the use of common price deflators across firms. Because of the lack of detailed micro-economic data, econometricians have to rely on industry-wide deflators when computing outputs and intermediate inputs. A unique feature of the longitudinal data used in this paper is that it reports firm-level prices. This allows for a comparative assessment of production function parameters where the outputs and intermediate inputs are computed using both firm-specific prices and industry-wide deflators. The empirical results presented in this paper show that the use of common deflators across firms leads to lower scale estimates, mainly because of a large downward bias in the estimated coefficients for labour. Copyright © 2006 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/jae.887
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File URL: http://qed.econ.queensu.ca:80/jae/2006-v21.6/
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 21 (2006)
Issue (Month): 6 ()
Pages: 879-891

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Handle: RePEc:jae:japmet:v:21:y:2006:i:6:p:879-891

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References

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  1. Tor Jakob Klette & Zvi Griliches, 1994. "The Inconsistency of Common Scales Estimators when Output Prices are Unobserved and Endogenous," Discussion Papers 127, Research Department of Statistics Norway.
  2. Robert E. Hall, 1986. "The Relation Between Price and Marginal Cost in U.S. Industry," NBER Working Papers 1785, National Bureau of Economic Research, Inc.
  3. César Alonso-Borrego & Rocío Sánchez-Mangas, 2001. "Gmm Estimation Of A Production Function With Panel Data: An Application To Spanish Manufacturing Firms," Statistics and Econometrics Working Papers ws015527, Universidad Carlos III, Departamento de Estadística y Econometría.
  4. Greenwood, J. & Hercowitz, Z. & Krusell, P., 1996. "Long-Run Implications of Investment-Specific Technological Change," RCER Working Papers 420, University of Rochester - Center for Economic Research (RCER).
  5. Mark Bils & Peter J. Klenow, 2002. "Some Evidence on the Importance of Sticky Prices," NBER Working Papers 9069, National Bureau of Economic Research, Inc.
  6. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-97, November.
  7. Richard Blundell & Steve Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
  8. M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
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Citations

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Cited by:
  1. Lubomir Lizal & Kamil Galuščák, 2012. "The Impact of Capital Measurement Error Correction on Firm-Level Production Function Estimation," William Davidson Institute Working Papers Series wp1026, William Davidson Institute at the University of Michigan.
  2. Enghin Atalay, 2012. "Materials Prices and Productivity," Working Papers 12-11, Center for Economic Studies, U.S. Census Bureau.
  3. Smeets, Valérie & Warzynski, Frédèric, 2011. "Estimating productivity with multi-product firms, pricing heterogeneity and the role of international trade," Working Papers 11-13, University of Aarhus, Aarhus School of Business, Department of Economics.
  4. Trax, Michaela & Brunow, Stephan & Suedekum, Jens, 2013. "Cultural diversity and plant-level productivity," DICE Discussion Papers 119, Heinrich‐Heine‐Universität Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  5. Jaumandreu, Jordi & Mairesse, Jacques, 2006. "Using price and demand information to identify production functions," MPRA Paper 1247, University Library of Munich, Germany.
  6. Ornaghi, Carmine & Castiglionesi, Fabio, 2009. "On the determinants of TFP growth: evidence from Spanish manufacturing firms," Discussion Paper Series In Economics And Econometrics 0912, Economics Division, School of Social Sciences, University of Southampton.
  7. Ornaghi, Carmine, 2008. "Price deflators and the estimation of the production function," Economics Letters, Elsevier, vol. 99(1), pages 168-171, April.
  8. Doan, Tinh & Nguyen, Ha, 2013. "Productivity dispersion and the roles of quality of labour input and competition: A case of Vietnamese manufacturing sector," MPRA Paper 48357, University Library of Munich, Germany.

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