Health in the cities: When the neighborhood matters more than income
AbstractUsing a rich Italian cross-sectional dataset, we estimate the effect of a neighborhood problems aggregate (including pollution, crime, and noise) on self-assessed health, presence of chronic conditions and limitations in daily activities. We address the self-selection of the residents in their neighborhoods, as well as the possible endogeneity of income with respect to health, through instrumental variable methods and several endogeneity tests. The main novelty is the sound estimation of the neighborhood effect on health using observational data, which has the advantage of providing general results that are not dependent on any experimental design. This allows us to fully compare the neighborhood effect with the traditional socioeconomic determinants of health. Our main findings are that low quality neighborhoods are strongly health damaging. This effect is comparable to the primary/upper secondary education health differential and is even higher than the impact that poor economic circumstances have on health.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Health Economics.
Volume (Year): 32 (2013)
Issue (Month): 1 ()
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Web page: http://www.elsevier.com/locate/inca/505560
Neighborhood effect; Neighborhood problems aggregate; Health; Endogeneity; Instrumental variables;
Other versions of this item:
- Bilger, M.; Carrieri.;, 2011. "Health in the cities: when the neighborhood matters more than income," Health, Econometrics and Data Group (HEDG) Working Papers 11/33, HEDG, c/o Department of Economics, University of York.
- I10 - Health, Education, and Welfare - - Health - - - General
- R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
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