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A La Recherche des Moments Perdus: Covariance Models for Unbalanced Panels with Endogenous Death

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  • John M. Abowd
  • Bruno Crepon
  • Francis Kramarz
  • Alain Trognon

Abstract

We develop a model for decomposing the covariance structure of panel data on firms into a part due to permanent heterogeneity, a part due to differential histories with unknown ages, and a part due to the evolution of economic shocks to the firm. Our model allows for the endogenous death of firms and correctly handles the problems arising from the estimation of this death process. We implement this model on an unbalanced longitudinal sample of French firms which have both known and unknown ages and histories. For firms with unknown birthdates, we find that the structural autocorrelation in employment, compensation and capital is dominated by the part due to initial heterogeneity and random growth rates. Serial correlation in the periodic shocks is less important. For these firms, profitability, value-added and indebtedness have processes in which the heterogeneity components are less important. Firms with known birthdates and histories (which are younger than the censored firms) have autocorrelation structures dominated by the heterogeneity.

Suggested Citation

  • John M. Abowd & Bruno Crepon & Francis Kramarz & Alain Trognon, 1995. "A La Recherche des Moments Perdus: Covariance Models for Unbalanced Panels with Endogenous Death," NBER Technical Working Papers 0180, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberte:0180
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    References listed on IDEAS

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    1. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Discussion Paper 1992-7, Tilburg University, Center for Economic Research.
    2. Dunne, Timothy & Roberts, Mark J & Samuelson, Larry, 1989. "Plant Turnover and Gross Employment Flows in the U.S. Manufacturing Sector," Journal of Labor Economics, University of Chicago Press, vol. 7(1), pages 48-71, January.
    3. Steven J. Davis & John Haltiwanger, 1990. "Gross Job Creation and Destruction: Microeconomic Evidence and Macroeconomic Implications," NBER Chapters, in: NBER Macroeconomics Annual 1990, Volume 5, pages 123-186, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Winter, Joachim, 1998. "Does Firms` Financial Status Affect Plant-Level Investment and Exit Decision," Sonderforschungsbereich 504 Publications 98-48, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    2. Bhattacharjee, A. & Higson, C. & Holly, S. & Kattuman, P., 2004. "Business Failure in UK and US Quoted Firms: Impact of Macroeconomic Instability and the Role of Legal Institutions," Cambridge Working Papers in Economics 0420, Faculty of Economics, University of Cambridge.
    3. John M. Abowd & Françis Kramarz & Antoine Moreau, 1996. "Product Quality and Worker Quality," Annals of Economics and Statistics, GENES, issue 41-42, pages 299-322.
    4. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 2001. "Combining Panel Data Sets with Attrition and Refreshment Samples," Econometrica, Econometric Society, vol. 69(6), pages 1645-1659, November.
    5. Horst Entorf & Francis Kramarz, 1998. "The Impact Of New Technologies On Wages: Lessons From Matching Panels On Employees And On Their Firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(2-4), pages 165-198.

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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • J0 - Labor and Demographic Economics - - General

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