On the power of absolute convergence tests

Author	dc.contributor.author	Chumacero Escudero, Rómulo
Admission date	dc.date.accessioned	2008-12-22T11:26:54Z
Available date	dc.date.available	2008-12-22T11:26:54Z
Publication date	dc.date.issued	2006-05
Cita de ítem	dc.identifier.citation	STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS Volume: 10 Issue: 2 Article Number: 5 Published: MAY 2006	en
Identifier	dc.identifier.issn	1081-1826
Identifier	dc.identifier.uri	https://repositorio.uchile.cl/handle/2250/127624
Abstract	dc.description.abstract	This paper analyzes whether or not the econometric methods usually applied to test for absolute convergence have provided this hypothesis a "fair" chance. I show that traditional (absolute and conditional) convergence tests are not consistent with even the simplest model that displays convergence. Furthermore, claims of divergence on the grounds of bimodalities in the distribution of GDP per capita can be made consistent with models in which neither divergence nor twin peaks are present in the long run.	en
Lenguage	dc.language.iso	en	en
Publisher	dc.publisher	BERKELEY ELECTRONIC PRESS	en
Keywords	dc.subject	Desarrollo económico	en
Título	dc.title	On the power of absolute convergence tests	en
Document type	dc.type	Artículo de revista