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

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Author Info
Lucia Alessi
Matteo Barigozzi
Marco Capasso

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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.

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Paper provided by Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy in its series LEM Papers Series with number 2006/27.

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Date of creation: 05 Oct 2006
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Handle: RePEc:ssa:lemwps:2006/27

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Keywords: Dynamic Factor Analysis Business Cycle Comovements

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  2. Reichlin, Lucrezia, 2002. "Factor Models in Large Cross-Sections of Time Series," CEPR Discussion Papers 3285, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  7. 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. [Downloadable!] (restricted)
  8. John Haltiwanger & C J Krizan & Lucia Foster, 1998. "Aggregate Productivity Growth: Lessons From Microeconomic Evidence," Working Papers 98-12, Center for Economic Studies, U.S. Census Bureau. [Downloadable!]
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  9. N. Gregory Mankiw, 1989. "Real Business Cycles: A New Keynesian Perspective," NBER Working Papers 2882, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  10. Lilien, David M, 1982. "Sectoral Shifts and Cyclical Unemployment," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 777-93, August. [Downloadable!] (restricted)
  11. 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. [Downloadable!]
  12. 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. [Downloadable!] (restricted)
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  13. Cooper, Russell & Haltiwanger, John, 1990. "Inventories and the Propagation of Sectoral Shocks," American Economic Review, American Economic Association, vol. 80(1), pages 170-90, March. [Downloadable!] (restricted)
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  14. 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, Department of Economics. [Downloadable!]
  15. Ellen R. Rissman, 1997. "Measuring labor market turbulence," Economic Perspectives, Federal Reserve Bank of Chicago, issue May, pages 2-14. [Downloadable!]
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  17. Mario Forni & Domenico Giannone & Marco Lippi & Lucrezia Reichlin, 2007. "Opening the black box - structural factor models with large gross-sections," Working Paper Series 712, European Central Bank. [Downloadable!]
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