The Determinants of Resilience in European Regions During the Great Recession: a Bayesian Model Averaging Approach
Lisa Gianmoena and
Vicente Rios ()
Discussion Papers from Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy
This study analyzes the determinants of resilience outcomes of European regions during the 2008-2013 crisis. Bayesian Model Averaging techniques are used in order to examine the empirical relevance of a large number of institutional, innovation, socio-demographic and labor market factors that could affect resilience patterns. The findings of this study suggest that regional disparities in resilience patterns are mainly determined by factors such as regional quality of government, the level of innovation, the functional specialization and by national level labor market institutions. The findings are robust to (i) the definition of the dependent variable and the (ii) employment of different g-priors and priors on model size.
JEL-codes: C11 C23 O11 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-geo and nep-ure
Note: ISSN 2039-1854
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Persistent link: https://EconPapers.repec.org/RePEc:pie:dsedps:2018/235
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