Showing 1 - 10 of 13
The present paper studies how European integration might affect the migration of workers in the enlarged EU. Unlike the reduced-form migration models, we base our empirical analysis on the theory of economic geography à la Krugman (1991), which provides an alternative modelling of migration...
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The paper studies the impact of migration policy liberalisation on international labour migration in the enlarged EU in a structural NEG approach. The liberalisation of migration policy would induce additional 1.80 - 2.98 percent of the total EU workforce to change their country of location,...
Persistent link: https://www.econbiz.de/10011524916
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The present paper studies labour migration in the enlarged EU. Adopting the Krugman’s framework of the New Economic Geography, we are able to study both the determinants of labour migration, such as market potential, wages, cost of living on one hand, and labour migration on the other hand...
Persistent link: https://www.econbiz.de/10011523053
The objective of the present paper is to study the impact of R&D investment on inter-regional labour migration and inter-sectoral labour reallocation in the EU, specifically at regional level. In order to capture important general equilibrium effects, we employ a structural NEG model called...
Persistent link: https://www.econbiz.de/10011508670
In this paper we develop an analytically solvable and structurally estimable economic geography model and apply it to predict migration flows for the period following the CEE’s integration with the EU. The main innovation of our approach is that it endogenises both explanatory variables and...
Persistent link: https://www.econbiz.de/10011513081
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The present paper describes the modelling of regional labour markets in the newly developed dynamic spatial general equilibrium model RHOMOLO, where the labour market equilibrium is determined by firms' labour demand, a wage-curve determining unemployment, and interregional labour migration. The...
Persistent link: https://www.econbiz.de/10011581448