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Econometrica Vol. 40 No. 1 1972

More Stochastic Properties of the Klein-Goldberger Model

R. J. Bowden

Abstract

The central idea of the business cycle is of a pervasive cyclical movement of economic indicators. This paper shows that the concept of such simultaneous movements can be given a precise meaning by performing a principal component analysis of spectral density matrices or, with a different shade of meaning, coherence matrices. It suggests also a new method of computing spectral approximations for models that are nonlinear in their variables. The methods are applied to the Klein-Goldberger model for the United States.

DOI
10.2307/1909723
Volume
40
Issue
1
Pages
87
Sources
bibtex:phds-export.bib crossref openalex

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