Multivariate Business Cycle Synchronization in Small Samples*

B-Tier
Journal: Oxford Bulletin of Economics and Statistics
Year: 2009
Volume: 71
Issue: 5
Pages: 715-737

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

In this paper, we study the degree of business cycle synchronization by means of a small sample version of the Harding and Pagan's [Journal of Econometrics (2006) Vol. 132, pp. 59–79] Generalized Method of Moment test. We show that the asymptotic version of the test gets increasingly distorted in small samples when the number of countries grows large. However, a block bootstrapped version of the test can remedy the size distortion when the time series length divided by the number of countries T/n is sufficiently large. Applying the technique to a number of business cycle proxies of developed economies, we are unable to reject the null hypothesis of a non‐zero common multivariate synchronization index for certain economically meaningful subsets of these countries.

Technical Details

RePEc Handle
repec:bla:obuest:v:71:y:2009:i:5:p:715-737
Journal Field
General
Author Count
3
Added to Database
2026-01-25