Temporal Dimensions and Measurement of Neighbourhood Effects

Sako Musterd, George Galster and Roger Andersson
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Sako Musterd: Department of Geography, Planning and International Development Studies, University of Amsterdam, Nieuwe Prinsengracht 130, 1018 VZ Amsterdam, The Netherlands
George Galster: Department of Urban Studies and Planning, Wayne State University, Detroit, MI 48202, USA
Roger Andersson: Institute for Housing and Urban Research, Uppsala University, PO Box 785, SE-801 29 Gävle, Sweden

Environment and Planning A, 2012, vol. 44, issue 3, 605-627

Abstract: 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.

Keywords: neighbourhood effects; social mixing; duration effects; lag effects; cumulative effects; fixed-effects models (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:44:y:2012:i:3:p:605-627

DOI: 10.1068/a44298

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