Economics & Sociology

ISSN: 2071-789X eISSN: 2306-3459 DOI: 10.14254/2071-789X
Index PUBMS: f5512f57-a601-11e7-8f0e-080027f4daa0
Article information
Title: Bayesian Model Averaging in the Studies on Economic Growth in the EU Regions – Application of the gretl BMA package
Issue: Vol. 9, No 4, 2016
Published date: 12-2016 (print) / 12-2016 (online)
Journal: Economics & Sociology
ISSN: 2071-789X, eISSN: 2306-3459
Authors: Marcin Błażejowski
Jakub Gazda
Jacek Kwiatkowski
Keywords: economic growth, Bayesian methods, gretl software
DOI: 10.14254/2071-789X.2016/9-4/10
Index PUBMS: f70859e2-0209-11e8-94c4-fa163e5d4f72
Language: English
Pages: 168-175 (8)
JEL classification: C11, O47, R11
Website: http://www.economics-sociology.eu/?451,en_bayesian-model-averaging-in-the-studies-on-economic-growth-in-the-eu-regions-%E2%80%93-application-of-the-gretl-bma-package
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Abstract

Economic growth is again one of the most important economic issues in literature since the 1980s. This paper falls into the mainstream of regional studies on economic growth and it tries to answer the recurring question: what are the determinants of economic growth at regional level. The objective of this article is to diagnose the determinants of economic growth among European regions on the basis of Bayesian methods applied to gretl software.