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Temporal Dimensions and Measurement of Neighbourhood Effects

Author

Listed:
  • 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)

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.

Suggested Citation

  • Sako Musterd & George Galster & Roger Andersson, 2012. "Temporal Dimensions and Measurement of Neighbourhood Effects," Environment and Planning A, , vol. 44(3), pages 605-627, March.
    • Handle: RePEc:sae:envira:v:44:y:2012:i:3:p:605-627
    DOI: 10.1068/a44298
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    References listed on IDEAS

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    Cited by:

    1. Lina Hedman & Maarten van Ham, 2021. "Three Generations of Intergenerational Transmission of Neighbourhood Context," Social Inclusion, Cogitatio Press, vol. 9(2), pages 129-141.
    2. de Vuijst, Elise & van Ham, Maarten & Kleinhans, Reinout, 2015. "The Moderating Effect of Higher Education on Intergenerational Spatial Inequality," IZA Discussion Papers 9557, Institute of Labor Economics (IZA).
    3. Hedman, Lina & Manley, David & van Ham, Maarten, 2017. "Sorting out Neighbourhood Effects Using Sibling Data," IZA Discussion Papers 11178, Institute of Labor Economics (IZA).
    4. de Vuijst, Elise & van Ham, Maarten & Kleinhans, Reinout, 2016. "A Life Course Approach to Understanding Neighbourhood Effects," IZA Discussion Papers 10276, Institute of Labor Economics (IZA).

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