Italy has a long history of internal migration. The arguments addressed by the researchers in the last century cover two main questions: where migrants go, and who they are. This thesis focuses on these aspects using two different approaches. The first study is based on a macro-approach. By means of a spatial gravity model, we investigate the determinants of internal migration using bilateral flows across Italian regions in the period 2000-2013. We address the issue of cross-regional dependence arising from the existence of regional spillovers by including spatial lags of the explanatory variables. The main results indicate the importance of spatial dependency induced by neighbouring regions at origin, and at destination. Interesting results are found for two different sub-sample of population: foreigners and Italians. The second study focuses on individuals’ behaviour. Weighted logit models of the probability that an individual changes his or her region of residence from one year to the next over the 2011–2012 periods are estimated using Labour Force Survey data. Our results show that alongside strictly economic determinants, migration choices are driven by a large set of personal, professional, and family characteristics.
Essays on internal migration determinants. From a macro to a micro approach
GAGLIARDINI, ELISA
2016-03-22
Abstract
Italy has a long history of internal migration. The arguments addressed by the researchers in the last century cover two main questions: where migrants go, and who they are. This thesis focuses on these aspects using two different approaches. The first study is based on a macro-approach. By means of a spatial gravity model, we investigate the determinants of internal migration using bilateral flows across Italian regions in the period 2000-2013. We address the issue of cross-regional dependence arising from the existence of regional spillovers by including spatial lags of the explanatory variables. The main results indicate the importance of spatial dependency induced by neighbouring regions at origin, and at destination. Interesting results are found for two different sub-sample of population: foreigners and Italians. The second study focuses on individuals’ behaviour. Weighted logit models of the probability that an individual changes his or her region of residence from one year to the next over the 2011–2012 periods are estimated using Labour Force Survey data. Our results show that alongside strictly economic determinants, migration choices are driven by a large set of personal, professional, and family characteristics.File | Dimensione | Formato | |
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