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Estimating Sectoral Cycles Using Cointegration and Common Features

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Author Info
Robert F. Engle
Joao Victor Issler

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Abstract

This paper investigates the degree of short run and long run comovement in U.S. sectoral output data by estimating sectoral trends and cycles. A theoretical model based on Long and Plosser (1983) is used to derive a reduced form for sectoral output from first principles. Cointegration and common features (cycles) tests are performed and sectoral output data seem to share a relatively high number of common trends and a relatively low number of common cycles. A special trend-cycle decomposition of the data set is performed and the results indicate a very similar cyclical behavior across sectors and a very different behavior for trends. In a variance decomposition exercise, for prominent sectors such as Manufacturing and Wholesale/Retail Trade, the cyclical innovation is more important than the trend innovation.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 4529.

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Date of creation: Nov 1993
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Handle: RePEc:nbr:nberwo:4529

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Edward C. Prescott, 1986. "Theory ahead of business cycle measurement," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall, pages 9-22. [Downloadable!]
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  2. Steven N. Durlauf, 1989. "Output Persistence, Economic Structure, and the Choice of Stabilization Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(1989-2), pages 69-136. [Downloadable!]
  3. 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. [Downloadable!] (restricted)
  4. Alan C. Stockman, 1989. "Sectoral and National Aggregate Disturbances to Industrial Output in Seven European Countries," NBER Working Papers 2313, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  5. 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)
  6. John Y. Campbell & N. Gregory Mankiw, 1987. "Permanent and Transitory Components in Macroeconomic Fluctuations," NBER Working Papers 2169, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  7. John H. Cochrane, 1994. "Univariate vs. Multivariate Forecasts of GNP Growth and Stock Returns: Evidence and Implications for the Persistence of Shocks, Detrending Methods," NBER Working Papers 3427, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  8. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March. [Downloadable!] (restricted)
  9. Robert F. Engle & Sharon Kozicki, 1990. "Testing For Common Features," NBER Technical Working Papers 0091, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  10. Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-28, August.
  11. Nelson, Charles R & Kang, Heejoon, 1981. "Spurious Periodicity in Inappropriately Detrended Time Series," Econometrica, Econometric Society, vol. 49(3), pages 741-51, May. [Downloadable!] (restricted)
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  12. Robert G. King & Charles I. Plosser & James H. Stock & Mark W. Watson, 1992. "Stochastic Trends and Economic Fluctuations," NBER Working Papers 2229, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  13. Long, John B, Jr & Plosser, Charles I, 1987. "Sectoral vs. Aggregate Shocks in the Business Cycle," American Economic Review, American Economic Association, vol. 77(2), pages 333-36, May. [Downloadable!] (restricted)
  14. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November. [Downloadable!] (restricted)
  15. Rogerson, Richard, 1987. "An Equilibrium Model of Sectoral Reallocation," Journal of Political Economy, University of Chicago Press, vol. 95(4), pages 824-34, August. [Downloadable!] (restricted)
  16. Nelson, Charles R & Kang, Heejoon, 1984. "Pitfalls in the Use of Time as an Explanatory Variable in Regression," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(1), pages 73-82, January.
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  17. Farshid Vahid & Robert F. Engle, 1992. "Common Trends and Common Cycles," University of California at San Diego, Economics Working Paper Series 92-04, Department of Economics, UC San Diego.
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  18. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : I. The basic neoclassical model," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 195-232. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Issler, João Victor & Vahid, Farshid, 2003. "The missing link: Using the NBER recession indicator to construct coincident and leading indices of economic activity," Economics Working Papers (Ensaios Economicos da EPGE) 492, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
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  2. Chan Swee Lean, 2001. "Empirical tests to discern linkages between construction and other economic sectors in Singapore," Construction Management & Economics, Taylor and Francis Journals, vol. 19(4), pages 355-363, July. [Downloadable!] (restricted)
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