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Retire to where? A discrete choice model of residential location

Dados Bibliográficos

ID12434962
AutoresWilliam Duncombe (Syracuse University), Mark Robbins (0000-0002-6715-8246, University of Connecticut), Douglas A Wolf (0000-0002-4203-8993, Syracuse University, autor correspondente)
Ano2001
Volume7
Fascículo4
Páginas281-293
Data de publicação2001-07-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Population Geography (JOURNAL)
Identificadores do periódicoISSN: 1077-3495 • E-ISSN: 1099-1220
EditoraWiley (PUBLISHER • GB)
DOI10.1002/ijpg.227
OpenAlexW2096369463
IdiomaEN
Citações recebidas24
Referências citadas30

Many studies of migration attempt to identify attributes of places that influence residential location decisions. Most such studies relate an area's migration rates to its own attributes, or the flow of migrants between two areas to the attributes of both places. We focus on retirement migration within the US, and extend the literature by using a discrete choice framework in which a person's location decision depends on the attributes of all potential locations. Using a multinomial logit specification and 1990 Census county‐to‐county migration data, we model the location choice of individuals aged 65 to 74 years from among more than 3000 counties. In order to make the estimation problem manageable, we employ the sampling‐of‐alternatives approach of McFadden, and use aggregated migratory‐flow data for which existing estimation software is applicable. Our results indicate that, in general, persons around retirement age avoid high taxes and housing costs, while they are drawn to areas with relatively high spending on such services as fire, police and recreation. Amenities such as coastline and warm weather are also valued. Copyright © 2001 John Wiley & Sons, Ltd

Census · Discrete choice · Econometrics · Economics · Estimation · Focus (optics · Geography · Logistic regression · Mixed logit · Multinomial logistic regression · Operations research · Order (exchange · Population · Recreation · Sociology · Computer Science · Demography · Economic and Environmental Valuation · Mathematics · Migration, Aging, and Tourism Studies · Urban Transport and Accessibility · Finance

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Obras citantes distintas24
Citações por ano1,09
Intervalo de citações2004 - 2025 (22)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 24
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