The aim of this paper is to study elderly migration in France. First, it analyses whether the decision to migrate relies upon individual characteristics. Second, it examines the ways in which the economic, social and environmental characteristics of the French territories determine the retirees' choice of localization. The paper draws upon a unique database of 12.67 million French inhabitants, with information about their personal attributes and locational choices from 2003 to 2008. It also uses an original database with locational characteristics for the French territories at the level of the 364 zones d'emploi. This is the only study on regional migration in France which builds upon such a thin spatial level of analysis. The paper builds empirical probit and Heckman models dealing with selection bias and endogeneity bias issues. The paper shows that retirees usually leave large agglomerations and old industrial areas in Northern France and the Paris agglomeration and relocate to socially and environmentally attractive zones with preferable climates. When studying the migration patterns within the zones d'emploi, it appears that the most vulnerable zones, which display a lower quality of collective services as well as higher income disparities and crime rates, feature lower elderly residential mobility. © 2018 The Author(s). Papers in Regional Science © 2018 RSAI

Migration Elderly retirees Heckman probit territories France

residential mobility empirical analysis income distribution elderly population France migration