We thank Enrico Spolaore for early advice and Rajiv Vohra for helpful discussions on the topic. We are also grateful to James C. Davis for his help throughout the project, Christine Kearney for preparation of the federalism index, and Fumiko Tamura for her help as a research assistant. Finally we thank two anonymous referees and an editor for helpful detailed comments.
This paper extends the utility maximization model of migration by introducing income and unemployment-related uncertainties as determinants of utility, and analyzes the effects of the informational advantages of migrants. The paper maintains that migration would expand an individual's economic choices and opportunities and allow diversification. Consequently, diversification advantages influence the location decisions of migrants, an effect captured by the correlation of incomes at the origin and potential destinations. We use the discrete choice model based on random utility maximization as the framework for our empirical investigation of migration from the United States rural to urban counties. This paper takes advantage of an equivalent relation between the conditional logit model and Poisson regression to study the migration decisions using aggregate data among a large set of spatial alternatives. The results show that the diversification concerns have significant effects on location decisions of the rural-urban migrants in the United States.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.