dc.contributor.author | Kourtellos, Andros | en |
dc.contributor.author | Stylianou, Ioanna | en |
dc.contributor.author | Tan, Chih Ming | en |
dc.creator | Kourtellos, Andros | en |
dc.creator | Stylianou, Ioanna | en |
dc.creator | Tan, Chih Ming | en |
dc.date.accessioned | 2019-05-03T05:22:26Z | |
dc.date.available | 2019-05-03T05:22:26Z | |
dc.date.issued | 2014 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/47531 | |
dc.description.abstract | In 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.iso | eng | en |
dc.source | Empirical Economics | en |
dc.subject | Threshold regression | en |
dc.subject | Growth volatility | en |
dc.subject | Multiple regimes | en |
dc.title | Robust multiple regimes in growth volatility | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1007/s00181-014-0868-9 | |
dc.description.volume | 48 | |
dc.description.startingpage | 461 | |
dc.description.endingpage | 491 | |
dc.author.faculty | Σχολή Οικονομικών Επιστημών και Διοίκησης / Faculty of Economics and Management | |
dc.author.department | Τμήμα Οικονομικών / Department of Economics | |
dc.type.uhtype | Article | en |
dc.contributor.orcid | Kourtellos, Andros [0000-0001-9662-0420] | |
dc.description.totalnumpages | 461-491 | |
dc.gnosis.orcid | 0000-0001-9662-0420 | |