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A Dynamic Factor Analysis of Business Cycle on Firm-Level Data

Author

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  • Lucia Alessi
  • Matteo Barigozzi
  • Marco Capasso

Abstract

We use the Generalized Dynamic Factor Model proposed by Forni et al. [2000] in order to study the dynamics of the rate of growth of output and investment. By using quarterly firm level data relative to hundreds of US firms for 20 years, we investigate the number and the features of the underlying forces leading economic growth: evidence suggests the main shock to be the same across sectors and for the economy as a whole, thus more likely a demand shock than a technology shock. Moreover, we disentangle the component of industrial dynamics which is due to economy-wide factors, the common component, from the component which relates to sectoral or firm-specific phenomena, the idiosyncratic component. We assess the relative importance of these two components at different frequencies and compare common components across sectors. Finally, we investigate the comovements of the common component of output and investment series both at firm level and at sectoral level.

Suggested Citation

  • Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "A Dynamic Factor Analysis of Business Cycle on Firm-Level Data," LEM Papers Series 2006/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Handle: RePEc:ssa:lemwps:2006/27
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    References listed on IDEAS

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    1. George Kapetanios & Massimiliano Marcellino, 2003. "A Comparison of Estimation Methods for Dynamic Factor Models of Large Dimensions," Working Papers 489, Queen Mary University of London, School of Economics and Finance.
    2. Giovanni Dosi, 2008. "Statistical Regularities in the Evolution of Industries. A Guide through Some Evidence and Challenges for the Theory," L'industria, Società editrice il Mulino, issue 2, pages 185-220.
    3. Mortensen, Dale T. & Pissarides, Christopher A., 1999. "Job reallocation, employment fluctuations and unemployment," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 18, pages 1171-1228, Elsevier.
    4. Eric J. Bartelsman & John Haltiwanger & Stefano Scarpetta, 2004. "Microeconomic Evidence of Creative Destruction in Industrial and Developing Countries," Tinbergen Institute Discussion Papers 04-114/3, Tinbergen Institute.
    5. Mankiw, N Gregory, 1989. "Real Business Cycles: A New Keynesian Perspective," Journal of Economic Perspectives, American Economic Association, vol. 3(3), pages 79-90, Summer.
    6. Lucia Foster & John C. Haltiwanger & C. J. Krizan, 2001. "Aggregate Productivity Growth: Lessons from Microeconomic Evidence," NBER Chapters, in: New Developments in Productivity Analysis, pages 303-372, National Bureau of Economic Research, Inc.
    7. Mario Forni & Lucrezia Reichlin, 1998. "Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 453-473.
    8. Lilien, David M, 1982. "Sectoral Shifts and Cyclical Unemployment," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 777-793, August.
    9. Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2009. "Opening The Black Box: Structural Factor Models With Large Cross Sections," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1319-1347, October.
    10. Chamberlain, Gary & Rothschild, Michael, 1983. "Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets," Econometrica, Econometric Society, vol. 51(5), pages 1281-1304, September.
    11. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    12. Cooper, Russell & Haltiwanger, John, 1990. "Inventories and the Propagation of Sectoral Shocks," American Economic Review, American Economic Association, vol. 80(1), pages 170-190, March.
    13. Ellen R. Rissman, 1997. "Measuring labor market turbulence," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 21(May), pages 2-14.
    14. Abraham, Katharine G & Katz, Lawrence F, 1986. "Cyclical Unemployment: Sectoral Shifts or Aggregate Disturbances?," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 507-522, June.
    15. Andrew Figura, 2002. "Is reallocation related to the cycle? A look at permanent and temporary job flows," Finance and Economics Discussion Series 2002-16, Board of Governors of the Federal Reserve System (U.S.).
    16. Lippi, Marco & Reichlin, Lucrezia, 1994. "VAR analysis, nonfundamental representations, blaschke matrices," Journal of Econometrics, Elsevier, vol. 63(1), pages 307-325, July.
    17. Steven J. Davis & John C. Haltiwanger & Scott Schuh, 1998. "Job Creation and Destruction," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262540932, April.
    18. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
    19. Jean Boivin & Serena Ng, 2005. "Understanding and Comparing Factor-Based Forecasts," International Journal of Central Banking, International Journal of Central Banking, vol. 1(3), December.
    20. John Haltiwanger, 1997. "Measuring and analyzing aggregate fluctuations: the importance of building from microeconomic evidence," Review, Federal Reserve Bank of St. Louis, issue May, pages 55-78.
    21. Loungani, Prakash & Rogerson, Richard, 1989. "Cyclical fluctuations and sectoral reallocation : Evidence from the PSID," Journal of Monetary Economics, Elsevier, vol. 23(2), pages 259-273, March.
    22. Reichlin, Lucrezia, 2002. "Factor Models in Large Cross-Sections of Time Series," CEPR Discussion Papers 3285, C.E.P.R. Discussion Papers.
    23. Thomas J. Sargent & Christopher A. Sims, 1977. "Business cycle modeling without pretending to have too much a priori economic theory," Working Papers 55, Federal Reserve Bank of Minneapolis.
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    Cited by:

    1. Antonio Palestrini, 2008. "Common Components in Firms' Growth and the Sectors Scaling Puzzle," Economics Bulletin, AccessEcon, vol. 12(35), pages 1-8.
    2. Gallegati, M. & Palestrini, A., 2010. "The complex behavior of firms' size dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 75(1), pages 69-76, July.
    3. repec:ebl:ecbull:v:12:y:2008:i:35:p:1-8 is not listed on IDEAS

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    Keywords

    Dynamic Factor Analysis; Business Cycle; Comovements;
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