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On The Use Of Firm Fixed Effects As A Productivity Measure For Analyzing Labor Market Matching

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  • Philipp Ehrl

Abstract

The present note evaluates the performance of firm fixed effects as a productivity measure when identified from wage regressions with two‐way fixed effects in matched employer‐employee data. This setting is frequently applied to study the matching between workers and firms. Exploiting wage and production data from a large administrative German data set, I find that the correlation between firm fixed effects (FFE) and total factor productivity is close to zero. Once TFP is used, the matching pattern is positive assortative, whereas the two‐way fixed effect technique yields the opposite result.

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  • Philipp Ehrl, 2019. "On The Use Of Firm Fixed Effects As A Productivity Measure For Analyzing Labor Market Matching," Bulletin of Economic Research, Wiley Blackwell, vol. 71(2), pages 195-208, April.
  • Handle: RePEc:bla:buecrs:v:71:y:2019:i:2:p:195-208
    DOI: 10.1111/boer.12173
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    1. Giordano Mion & Paolo Naticchioni, 2009. "The spatial sorting and matching of skills and firms," Canadian Journal of Economics, Canadian Economics Association, vol. 42(1), pages 28-55, February.
    2. Gruetter, Max & Lalive, Rafael, 2009. "The importance of firms in wage determination," Labour Economics, Elsevier, vol. 16(2), pages 149-160, April.
    3. repec:iab:iabfme:200502(en is not listed on IDEAS
    4. Fabien Postel-Vinay & Jean-Marc Robin, 2006. "Microeconometric Search-Matching Models and Matched Employer-Employee Data," Post-Print hal-00279658, HAL.
    5. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    6. 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.
    7. Blundell,Richard & Newey,Whitney K. & Persson,Torsten (ed.), 2006. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9780521871525, January.
    8. Edward P. Lazear & Kathryn L. Shaw, 2009. "The Structure of Wages: An International Comparison," NBER Books, National Bureau of Economic Research, Inc, number laze08-1.
    9. Lazear, Edward P. & Shaw, Kathryn L. (ed.), 2009. "The Structure of Wages," National Bureau of Economic Research Books, University of Chicago Press, edition 2, number 9780226470504, June.
    10. Blundell,Richard & Newey,Whitney K. & Persson,Torsten (ed.), 2006. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9780521692083, January.
    11. Alda, Holger & Bender, Stefan & Gartner, Hermann, 2005. "The linked employer-employee dataset of the IAB (LIAB)," IAB-Discussion Paper 200506, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. Jesper Bagger & Rasmus Lentz, 2014. "An Empirical Model of Wage Dispersion with Sorting," Economics Working Papers 2014-11, Department of Economics and Business Economics, Aarhus University.
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    1. Dorner, Matthias & Görlitz, Katja, 2020. "Training, wages and a missing school graduation cohort," IAB-Discussion Paper 202028, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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