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ABSTRACT Low rates of internal migration in many European countries contribute to the persistence of significant regional labor market differences. I use the Mikrozensus, a large annual sample of households living in Germany, to further our understanding of the underlying reasons. This paper makes two main contributions: first, the paper quantifies the disutility of migrating. To this end, I estimate conditional logit models of the migration decision across the German federal states. Second, I then focus on the differences between immigrants and natives. I find significantly higher responsiveness to labor market differentials in the immigrant population than in the native population. Unobserved moving costs for immigrants are estimated to be only about 31 percent of this same cost for natives. The findings bear on the assessment of the economic impact of immigration, and the paper contributes to the current immigration-related policy debates that feature prominently in many European countries, and that likely will continue to be important in light of the ongoing EU expansion and the resulting east-west migration. [ABSTRACT FROM AUTHOR]

It is common in empirical regional economics to use total employment as an explanatory variable while investigating issues such as the level and distribution of income and migration. This paper argues that sector-specific changes in employment and labor market performance can have different effects on economic growth, the collection of tax revenue, migration, and the level and distribution of household income. As such, it is important to model sectors separately. We find that expansions in employment opportunities for a high-wage sector such as computer manufacturing or bioengineering, a medium-wage sector manufacturing, and the lower-wage sector of retailing have differing economic consequences for a small city. We use a data intensive computable general equilibrium model to obtain these results. [ABSTRACT FROM AUTHOR]