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We use Bayesian Model Averaging (BMA) to evaluate the robustness of determinants of economic growth in a new dataset of 255 European regions in the 1995-2005 period. We use three different specifications based on (1) the cross-section of regions, (2) the cross-section of regions with country...
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Department: Economics.
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C<sc>respo</sc> C<sc>uaresma</sc> J., D<sc>oppelhofer</sc> G. and F<sc>eldkircher</sc> M. The determinants of economic growth in European regions, <italic>Regional Studies</italic>. This paper uses Bayesian model averaging (BMA) to find robust determinants of economic growth between 1995 and 2005 in a new data set of 255 European regions. It finds...
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This paper examines the robustness of explanatory variables in cross-country economic growth regressions. It employs a novel approach, Bayesian Averaging of Classical Estimates (BACE), which constructs estimates as a weighted average of OLS estimates for every possible combination of included...
Persistent link: https://www.econbiz.de/10005046029
This paper examines the robustness of explanatory variables in cross-country economic growth regressions. It employs a novel approach, Bayesian Averaging of Classical Estimates (BACE), which constructs estimates as a weighted average of OLS estimates for every possible combination of included...
Persistent link: https://www.econbiz.de/10005084726
This paper examines the robustness of explanatory variables in cross-country economic growth regressions. It introduces and employs a novel approach, Bayesian Averaging of Classical Estimates (BACE), which constructs estimates by averaging OLS coefficients across models. The weights given to...
Persistent link: https://www.econbiz.de/10005571611
We evaluate the monetary determinants of inflation in the Czech Republic, Hungary, Poland and Slovakia by using the McCallum rule for money supply. The deviation of actual money growth from the rule is included in the estimation of Phillips curves for the four economies by Bayesian model...
Persistent link: https://www.econbiz.de/10008543861