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Productivity dispersion and measurement errors

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We outline a novel procedure to identify the role of measurement errors in explaining the empirical dispersion in productivity across establishments. The starting point of our framework is the typical errors-in-variable model consisting of a measurement equation and a structural equation for the true productivity. The key idea in our identification strategy is to estimate the variance of the measurement errors in order to deduce the variance of the companion true variable. Specifically, we estimate a dynamic panel model where establishment-specific productivity is modelled as a first order autoregressive process augmented with year dummies and establishment-specific unobserved heterogeneity, represented by random effects. Considering 3 Norwegian manufacturing industries, as an example, we find that about 4 per cent of the measured dispersion is caused by measurement errors.

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  • Thomas von Brasch & Diana-Cristina Iancu & Terje Skjerpen, 2017. "Productivity dispersion and measurement errors," Discussion Papers 869, Statistics Norway, Research Department.
    • Handle: RePEc:ssb:dispap:869
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    1. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    2. Chad Syverson, 2004. "Product Substitutability and Productivity Dispersion," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 534-550, May.
    3. Rachel Griffith & Stephen Redding & John Van Reenen, 2004. "Mapping the Two Faces of R&D: Productivity Growth in a Panel of OECD Industries," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 883-895, November.
    4. Jakob B. Madsen & Md. Rabiul Islam & James B. Ang, 2010. "Catching up to the technology frontier: the dichotomy between innovation and imitation," Canadian Journal of Economics, Canadian Economics Association, vol. 43(4), pages 1389-1411, November.
    5. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    6. Nicholas Bloom & Mark Schankerman & John Van Reenen, 2013. "Identifying Technology Spillovers and Product Market Rivalry," Econometrica, Econometric Society, vol. 81(4), pages 1347-1393, July.
    7. Benhabib, Jess & Spiegel, Mark M., 2005. "Human Capital and Technology Diffusion," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 13, pages 935-966, Elsevier.
    8. Lucia Foster & Cheryl Grim & John C. Haltiwanger & Zoltan Wolf, 2019. "Innovation, Productivity Dispersion, and Productivity Growth," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 103-136, National Bureau of Economic Research, Inc.
    9. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    10. Eric J. Bartelsman & Zoltan Wolf, 2017. "Measuring Productivity Dispersion," Tinbergen Institute Discussion Papers 17-033/VI, Tinbergen Institute.
    11. Maddala, G S, 1971. "The Use of Variance Components Models in Pooling Cross Section and Time Series Data," Econometrica, Econometric Society, vol. 39(2), pages 341-358, March.
    12. Komunjer, Ivana & Ng, Serena, 2014. "Measurement Errors In Dynamic Models," Econometric Theory, Cambridge University Press, vol. 30(1), pages 150-175, February.
    13. Nicholas Bloom & John Van Reenen, 2010. "Why Do Management Practices Differ across Firms and Countries?," Journal of Economic Perspectives, American Economic Association, vol. 24(1), pages 203-224, Winter.
    14. J. B. Taylor & Harald Uhlig (ed.), 2016. "Handbook of Macroeconomics," Handbook of Macroeconomics, Elsevier, edition 1, volume 2, number 2.
    15. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    16. Eric Bartelsman & John Haltiwanger & Stefano Scarpetta, 2009. "Measuring and Analyzing Cross-country Differences in Firm Dynamics," NBER Chapters, in: Producer Dynamics: New Evidence from Micro Data, pages 15-76, National Bureau of Economic Research, Inc.
    17. Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017. "Consistent estimation of linear panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
    18. Emili Grifell-Tatjé & C.A. Knox Lovell & Robin Sickles & Laurens Cherchye & Bram de Rock & Antonio Estache & Marijn Verschelde, 2018. "The Oxford Handbook of Productivity Analysis," Post-Print hal-02573812, HAL.
    19. Jones, C.I., 2016. "The Facts of Economic Growth," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 3-69, Elsevier.
    20. Michel Dumont & Glenn Rayp & Olivier Thas & Peter Willemé, 2005. "Correcting Standard Errors in Two‐stage Estimation Procedures with Generated Regressands," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(3), pages 421-433, June.
    21. Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-670, May.
    22. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    23. Hopenhayn, Hugo A, 1992. "Entry, Exit, and Firm Dynamics in Long Run Equilibrium," Econometrica, Econometric Society, vol. 60(5), pages 1127-1150, September.
    24. Timothy Dunne & J. Bradford Jensen & Mark J. Roberts, 2009. "Producer Dynamics: New Evidence from Micro Data," NBER Books, National Bureau of Economic Research, Inc, number dunn05-1, March.
    25. Timothy Dunne & Lucia Foster & John Haltiwanger & Kenneth R. Troske, 2004. "Wage and Productivity Dispersion in United States Manufacturing: The Role of Computer Investment," Journal of Labor Economics, University of Chicago Press, vol. 22(2), pages 397-430, April.
    26. Maddala, G S, 1971. "The Likelihood Approach to Pooling Cross-Section and Time-Series Data," Econometrica, Econometric Society, vol. 39(6), pages 939-953, November.
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    More about this item

    Keywords

    Labor productivity; Productivity dispersion; Establishment performance;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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