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Let's Get Real: A Dynamic Factor Analytical Approach to Disaggregated Business Cycle

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Author Info
Forni, Mario
Reichlin, Lucrezia

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Abstract

This paper analyses output and productivity for 450 US industries from 1958 to 1986. We make the following contributions. (i) We develop a method based on dynamic principal components to identify the number of common shocks to our data set. (ii) We propose a simple method for the estimation of the unobserved common dynamic component in a factor analytic model. (iii) We use a new method for identifying the technology shock based on the innocuous idea that technological innovations are mainly positive. (iv) We propose and construct a measure of the degree of substitution between complementary effects of shocks.Our main empirical findings are: (i) There are only two common shocks driving output and productivity in the 450 sectors; (ii) Technological innovations produce positive comovements at business cycle frequencies, but they are not sufficient to explain all cyclical fluctuations. (iii) Technological shocks are strongly correlated with the growth rates of the investment in machinery and equipment sectors and their inputs.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 1244.

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Date of creation: Sep 1995
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Handle: RePEc:cpr:ceprdp:1244

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Keywords: Business Cycle Factor Analysis Principal Components Sectoral Movements Technical Shocks

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Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
O30 - Economic Development, Technological Change, and Growth - - Technological Change - - - General

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  1. Fabio Canova, 1997. "Testing for Convergence Clubs in Income per-capita: A Predictive Density Approach," Economics Working Papers 404, Department of Economics and Business, Universitat Pompeu Fabra, revised Jun 1999. [Downloadable!]
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  2. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2004. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," NBER Working Papers 10220, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  3. Francis X. Diebold & Lutz Kilian, 1997. "Measuring predictability: theory and macroeconomic applications," Working Papers 97-23, Federal Reserve Bank of Philadelphia. [Downloadable!]
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  4. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March. [Downloadable!] (restricted)
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  5. Carlos Barrera-Chaupis, 2005. "Proyecciones desagregadas de la variación del índice de precios al consumidor (IPC), del índice de precios al por Mayor (IPM) y del Crecimiento del Producto Real (PBI)," Working Papers 2005-006, Banco Central de Reserva del Perú. [Downloadable!]
  6. Kapetanios, George & Marcellino, Massimiliano, 2006. "A Parametric Estimation Method for Dynamic Factor Models of Large Dimensions," CEPR Discussion Papers 5620, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
  7. Jim Malley & Anton Muscatelli & Ulrich Woitek, 1998. "The Interaction Between Business Cycles and Productivity Growth: Evidence from US Industrial Data," Working Papers 9805, Department of Economics, University of Glasgow, revised Oct 1998.
  8. Massimiliano Marcellino & George Kapetanios, . "The Role of Search Frictions and Bargaining for Inflation Dynamics," Working Papers 305, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University. [Downloadable!]
  9. Kapetanios, George & Marcellino, Massimiliano, 2006. "Impulse Response Functions from Structural Dynamic Factor Models: A Monte Carlo Evaluation," CEPR Discussion Papers 5621, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  10. James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  11. Carlo Ambrogio Favero & Massimilano Marcellino & Francesca Neglia, . "Principal components at work: The empirical analysis of monetary policy with large datasets," Working Papers 223, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University. [Downloadable!]
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