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Testing for country heterogeneity in growth models using a finite mixture approach
Author(s) -
Alfò Marco,
Trovato Giovanni,
Waldmann Robert J.
Publication year - 2008
Publication title -
journal of applied econometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.878
H-Index - 99
eISSN - 1099-1255
pISSN - 0883-7252
DOI - 10.1002/jae.1008
Subject(s) - economics , explanatory power , econometrics , bivariate analysis , multivariate statistics , convergence (economics) , growth model , investment (military) , extension (predicate logic) , sign (mathematics) , mathematics , mathematical economics , macroeconomics , statistics , computer science , mathematical analysis , philosophy , epistemology , politics , political science , law , programming language
Abstract We define a bivariate mixture model to test whether economic growth can be considered exogenous in the Solovian sense. For this purpose, the multivariate mixture approach proposed by Alfò and Trovato is applied to the Bernanke and Gürkaynak extension of the Solow model. We find that the explanatory power of the Solow growth model is enhanced, since growth rates are not statistically significantly associated with investment rates, when cross‐country heterogeneity is considered. Moreover, no sign of convergence to a single equilibrium is found. Copyright © 2008 John Wiley & Sons, Ltd.