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dc.creatorPincheira, Pablo M.
dc.date2014-04-26
dc.date.accessioned2023-09-07T16:20:12Z
dc.date.available2023-09-07T16:20:12Z
dc.identifierhttps://www.rae-ear.org/index.php/rae/article/view/399
dc.identifier.urihttps://revistaschilenas.uchile.cl/handle/2250/233552
dc.descriptionIn this paper the neoclassical convergence hypothesis is tested for the thirteen regions of Chile using cross-section techniques and the time-series based tests proposed by Bernard, A. and S. Durlauf, 1995, “Convergence in International Output”, Journal of Applied Econometrics 10 (2), pp. 97-108. Cross-section analysis in combination with a Bayesian Modeling Averaging strategy supports the convergence hypothesis, despite of some instability detected in the estimated speed of convergence. When applying time-series based tests, the no convergence null hypothesis cannot be rejected at the usual significance levels. When clustering the Chilean regions into three different groups, however, evidence of cointegration within these groups is found, indicating that the regional growth process in Chile is driven by a lower number of common trends.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad Alberto Hurtado - Facultad de Economía y Negociosen-US
dc.relationhttps://www.rae-ear.org/index.php/rae/article/view/399/548
dc.sourceRevista de Análisis Económico ; Vol. 29 Núm. 1 (2014); 17-52es-ES
dc.sourceEconomic Analysis Review; Vol. 29 No. 1 (2014); 17-52en-US
dc.source0718-8870
dc.source0716-5927
dc.subjectConvergence hypothesisen-US
dc.subjecteconomic growthen-US
dc.subjectBayesian model averagingen-US
dc.subjectcointegrationen-US
dc.subjectChile.en-US
dc.titleConvergence and Long-Run Uncertaintyen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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