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Common cycles in macroeconomic aggregates


  • Vahid, Farshid
  • Issler, João Victor


Reduced form estimation of multivariate data sets currently takes into account long-run co-movement restrictions by using Vector Error Correction Models (VECM' s). However, short-run co-movement restrictions are completely ignored. This paper proposes a way of taking into account short-and long-run co-movement restrictions in multivariate data sets, leading to efficient estimation of VECM' s. It enables a more precise trend-cycle decomposition of the data which imposes no untested restrictions to recover these two components. The proposed methodology is applied to a multivariate data set containing U.S. per-capita output, consumption and investment Based on the results of a post-sample forecasting comparison between restricted and unrestricted VECM' s, we show that a non-trivial loss of efficiency results whenever short-run co-movement restrictions are ignored. While permanent shocks to consumption still play a very important role in explaining consumption’s variation, it seems that the improved estimates of trends and cycles of output, consumption, and investment show evidence of a more important role for transitory shocks than previously suspected. Furthermore, contrary to previous evidence, it seems that permanent shocks to output play a much more important role in explaining unemployment fluctuations.

Suggested Citation

  • Vahid, Farshid & Issler, João Victor, 1994. "Common cycles in macroeconomic aggregates," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 233, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
  • Handle: RePEc:fgv:epgewp:233

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    Cited by:

    1. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2000. "Testing for Common Cyclical Features in Nonstationary Panel Data Models," CESifo Working Paper Series 248, CESifo Group Munich.
    2. Michel Beine & Bertrand Candelon & Alain Hecq, 2000. "Assessing a Perfect European Optimum Currency Area: A Common Cycles Approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 27(2), pages 115-132, June.
    3. Engle, Robert F. & Issler, Joao Victor, 1995. "Estimating common sectoral cycles," Journal of Monetary Economics, Elsevier, vol. 35(1), pages 83-113, February.
    4. Ana María Cerro & José Pineda, 2002. "Latin American growth cycles. Empirical evidence: 1960 - 2000," Estudios de Economia, University of Chile, Department of Economics, vol. 29(1 Year 20), pages 89-108, June.

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