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Temporal Dimensions and Measurement of Neighbourhood Effects

Bibliographic Data

ID4138799
AuthorsSako Musterd (0000-0003-2578-9098, University of Amsterdam, corresponding author), George Galster (0000-0001-5054-0898, Wayne State University, corresponding author), Roger Andersson (0000-0001-9832-5847, Institute for Housing and Urban Research, Uppsala University, PO Box 785, SE-801 29 Gävle, Sweden, corresponding author)
Year2012
Volume44
Issue3
Pages605-627
Publication date2012-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a44298
OpenAlexW2122775020
LanguageEN
Citations received49
References cited51

We conduct a panel analysis quantifying the degree to which the mixture of low-income, middle-income, and high-income males in the neighbourhood affects the subsequent labour income of individuals, and test the degree to which these effects vary by timing (lagging up to three years), duration (one to four years), and cumulative amount of exposure and to what extent these effects are persistent. We employ a fixed-effects model to reduce the potential bias arising from unmeasured individual characteristics leading to neighbourhood selection. The empirical study applies individual-level data for the working-age population of the three largest cities in Sweden covering the period 1991-2006. The analyses suggest that there are important temporal dimensions in the statistical effect of neighbourhood income mix: recent, continued, or cumulative exposure yields stronger associations than lagged, temporary ones, and there is a distinct time decay (though some persistence) in the potential effects after exposure ceases, though with some gender differences

Demographic economics · Econometrics · Economics · Geography · Lagging · Panel Study of Income Dynamics · Population · Sociology · Statistics · Demography · Health disparities and outcomes · Housing Market and Economics · Mathematics · Urban, Neighborhood, and Segregation Studies

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Unique citing works49
Citations per year3,06
Citation span2010 - 2026 (17)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 46

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