Quantifying the Effect of Neighbourhood on Individuals: Challenges, Alternative Approaches, and Promising Directions
By G. Galster. 2008
211 citations recorded by the source corpus.
Six major challenges confront statistical researchers attempting to quantify accurately the independent effect of neighbourhood context on individuals: (1) defining the scale of neighbourhood; (2) identifying mechanisms of neighbourhood effect; (3) measuring appropriate neighbourhood characteristics; (4) measuring exposure to neighbourhood; (5) measuring appropriate individual characteristics; and (6) endogeneity. The paper describes these challenges, prior attempts to meet them, and their respective shortcomings. It notes several approaches on the horizon that offer the promise of surmounting these challenges: experiments with varied scales of bespoke neighbourhoods; databases with multi-domain measures of neighbourhood characteristics; statistical models testing for non-linear neighbourhood effects that are stratified by residential group, density of local social interactions, and duration of residency; and econometric devices involving instrumental variables and residuals. It argues that further progress can be made on this front if we take advantage of natural quasi-experiments and push toward fielding a major, new social survey employing a people/place panel design.
Subfields: General Health Professions, Sociology and Political Science, Transportation
View Paper: https://www.semanticscholar.org/paper/4525de02ed62e121b38e75eb4b4f9ff321c0063d
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In General Health Professions
In Sociology and Political Science
In Transportation
Citations in the corpus
- Understanding Neighbourhood Effects: Selection Bias and Residential Mobility (2010, background): “Several authors list selection bias as one of the most urgent issues to solve in the field of neighbourhood effects research (Jencks & Mayer, 1990; Tienda, 1991; Duncan et al., 1997; Galster, 2008; van Ham & Manley, 2010; Bergström, forthcoming).”
- Neighbourhood Choice and Neighbourhood Reproduction (2011, background): “…the neighbourhood effects literature is to identify causal neighbourhood effects: selective inflows of households into neighbourhoods can bias models trying to measure neighbourhood effects (eg see Duncan et al, 1997; Hedman, 2011; Hedman and van Ham, 2011; Galster, 2008; van Ham and Manley, 2010).”