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This paper considers the problem of model uncertainty associated with variable selection and specification of the spatial weight matrix in spatial growth regression models in general and growth regression models based on the matrix exponential spatial specification in particular. A natural...
Persistent link: https://www.econbiz.de/10010711710
This paper considers the most important aspects of model uncertainty for spatial regression models, namely the appropriate spatial weight matrix to be employed and the appropriate explanatory variables. We focus on the spatial Durbin model (SDM) specification in this study that nests most models...
Persistent link: https://www.econbiz.de/10014137087
The speed of income convergence in Europe remains one of the hot topics in regional economics. Recently Bayesian Model …., Feldkircher, M. (2012), 'Spatial Filtering, Model Uncertainty and the Speed of Income Convergence in Europe', Journal of Applied …
Persistent link: https://www.econbiz.de/10011509195
This study suggests a two-step approach to identifying and interpreting regional convergence clubs in Europe. The first …
Persistent link: https://www.econbiz.de/10011685263
This study suggests a two-step approach to identifying and interpreting regional convergence clubs in Europe. The first …
Persistent link: https://www.econbiz.de/10011518150
This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors...
Persistent link: https://www.econbiz.de/10009010519
This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors...
Persistent link: https://www.econbiz.de/10013129859
This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors...
Persistent link: https://www.econbiz.de/10013130083
This paper uses Bayesian model comparison methods to simultaneously specify both the spatial weight structure and explanatory variables for a spatial growth regression involving 255 NUTS 2 regions across 25 European countries. In addition, a correct interpretation of the spatial regression...
Persistent link: https://www.econbiz.de/10012730247
We develop an empirical approach to examine static and dynamic knowledge externalities in the context of a regional total factor productivity relationship. Static externalities refer to current period scale or industry-size effects which have been labeled localization externalities or...
Persistent link: https://www.econbiz.de/10011555818