Reproducing Business Cycle Features: How Important Is Nonlinearity Versus Multivariate Information?

James Morley, Jeremy Piger and Pao-Lin Tien

No 2009-003, Wesleyan Economics Working Papers from Wesleyan University, Department of Economics

Abstract: In this paper, we consider the ability of time-series models to generate simulated data that display the same business cycle features found in U.S. real GDP. Our analysis of a range of popular time-series models allows us to investigate the extent to which multivariate information can account for the apparent univariate evidence of nonlinear dynamics in GDP. We find that certain nonlinear specifications yield an improvement over linear models in reproducing business cycle features, even when multivariate information inherent in the unemployment rate, inflation, interest rates, and the components of GDP is taken into account.

JEL-codes: C52 E30 (search for similar items in EconPapers)
Pages: 33 pages
Date: 2009-05
New Economics Papers: this item is included in nep-bec, nep-cba, nep-ecm and nep-mac
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:wes:weswpa:2009-003

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