Identifying the Common Component in International Economic Fluctuations

37 Pages Posted: 6 Sep 2000  

Robin L. Lumsdaine

American University - Department of Finance and Real Estate; National Bureau of Economic Research (NBER)

Eswar S. Prasad

Cornell University - Dyson School of Applied Economics and Management; Cornell University - Department of Economics; Brookings Institution; NBER; IZA Institute of Labor Economics

Date Written: April 1997

Abstract

In this paper, we develop an aggregation procedure using time-varying weights for constructing the common component in international economic fluctuations. The methodology for deriving time-varying weights is based on some stylized features of the data documented in the paper. The model allows for a unified treatment of cyclical and seasonal fluctuations and also captures the dynamic propagation of shocks across countries. Based on correlations of individual country fluctuations with the common component, we find evidence for a `world business cycle' as well as evidence for a distinct European common component. We find few systematic differences in international business cycle relationships between the Bretton Woods and post-Bretton Woods periods.

Suggested Citation

Lumsdaine, Robin L. and Prasad, Eswar S., Identifying the Common Component in International Economic Fluctuations (April 1997). NBER Working Paper No. w5984. Available at SSRN: https://ssrn.com/abstract=225763

Robin L. Lumsdaine (Contact Author)

American University - Department of Finance and Real Estate ( email )

Kogod School of Business
4400 Massachusetts Ave., N.W.
Washington, DC 20016-8044
United States

National Bureau of Economic Research (NBER) ( email )

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Eswar S. Prasad

Cornell University - Dyson School of Applied Economics and Management ( email )

440 Warren Hall
Ithaca, NY 14853
United States

HOME PAGE: http://prasad.aem.cornell.edu

Cornell University - Department of Economics ( email )

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Brookings Institution ( email )

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NBER ( email )

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IZA Institute of Labor Economics

P.O. Box 7240
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Germany

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