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A Conditional Logit Approach to U.S. State‐to‐State Migration
Author(s) -
Davies Paul S.,
Greenwood Michael J.,
Li Haizheng
Publication year - 2001
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/0022-4146.00220
Subject(s) - logit , econometrics , economics , unemployment , logistic regression , unemployment rate , per capita , per capita income , statistics , mathematics , macroeconomics , demography , population , sociology
This paper uses a conditional logit approach to study interstate migration in the United States for each of eleven years, from 1986–1987 to 1996–1997. We test substantive hypotheses regarding migration in the United States and demonstrate the richness of the conditional logit approach in studies of place‐to‐place migration. We investigate migration responses to relative economic opportunities (unemployment rate, per capita income) and the associated costs of moving (distance between origin and destination and its square). We also investigate how noneconomic factors, such as amenities, affect migration between states through a state fixed effect. Finally, we study the magnitude of unmeasured costs associated with a particular migration. The conditional logit model also allows us to compute various trade‐off and other values that are of interest in migration analysis.