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dc.contributor.authorKourtellos, Androsen
dc.contributor.authorStylianou, Ioannaen
dc.contributor.authorTan, Chih Mingen
dc.creatorKourtellos, Androsen
dc.creatorStylianou, Ioannaen
dc.creatorTan, Chih Mingen
dc.date.accessioned2019-05-03T05:22:26Z
dc.date.available2019-05-03T05:22:26Z
dc.date.issued2014
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/47531
dc.description.abstractIn this paper, we uncover growth volatility regimes and identify their robust determinants using a large international panel of countries. In doing so, we propose a novel empirical methodology that allows us to simultaneously deal with two key elements of model uncertainty, namely theory uncertainty and parameter heterogeneity, by unifying two recent econometric techniques: Bayesian model averaging and threshold regression. We find ample evidence of parameter heterogeneity and model uncertainty. Our results highlight the role of ethnic fractionalization, institutions, financial development, health, and geography. © 2014, Springer-Verlag Berlin Heidelberg.en
dc.language.isoengen
dc.sourceEmpirical Economicsen
dc.subjectThreshold regressionen
dc.subjectGrowth volatilityen
dc.subjectMultiple regimesen
dc.titleRobust multiple regimes in growth volatilityen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1007/s00181-014-0868-9
dc.description.volume48
dc.description.startingpage461
dc.description.endingpage491
dc.author.facultyΣχολή Οικονομικών Επιστημών και Διοίκησης / Faculty of Economics and Management
dc.author.departmentΤμήμα Οικονομικών / Department of Economics
dc.type.uhtypeArticleen
dc.contributor.orcidKourtellos, Andros [0000-0001-9662-0420]
dc.description.totalnumpages461-491
dc.gnosis.orcid0000-0001-9662-0420


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