Obesity in Urban Food Markets: Evidence from Geo-referenced Micro Data
AbstractThis paper provides quantitative estimates of the effect of proximity to fast food restaurants and grocery stores on obesity in urban food markets. Our empirical model combined georeferenced micro data on access to fast food restaurants and grocery stores with data about salient personal characteristics, individual behaviors, and neighborhood characteristics. We defined a "local food environment" for every individual utilizing 0.5-mile buffers around a person's home address. Local food landscapes are potentially endogenous due to spatial sorting of the population and food outlets, and the body mass index (BMI) values for individuals living close to each other are likely to be spatially correlated because of observed and unobserved individual and neighborhood effects. The potential biases associated with endogeneity and spatial correlation were handled using spatial econometric estimation techniques. Our policy simulations for Indianapolis, Indiana, focused on the importance of reducing the density of fast food restaurants or increasing access to grocery stores. We accounted for spatial heterogeneity in both the policy instruments and individual neighborhoods, and consistently found small but statistically significant effects for the hypothesized relationships between individual BMI values and the densities of fast food restaurants and grocery stores.
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Bibliographic InfoPaper provided by Agricultural and Applied Economics Association in its series 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin with number 49512.
Date of creation: Mar 2009
Date of revision:
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obesity; fast food; grocery store; spatial econometrics; micro data; Agricultural and Food Policy; Community/Rural/Urban Development; Consumer/Household Economics; Food Consumption/Nutrition/Food Safety; Health Economics and Policy; Public Economics; Research Methods/ Statistical Methods; C31; D12; I12; I18;
Find related papers by JEL classification:
- 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
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- I12 - Health, Education, and Welfare - - Health - - - Health Production
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
This paper has been announced in the following NEP Reports:
- NEP-AGR-2009-05-16 (Agricultural Economics)
- NEP-ALL-2009-05-16 (All new papers)
- NEP-GEO-2009-05-16 (Economic Geography)
- NEP-HEA-2009-05-16 (Health Economics)
- NEP-URE-2009-05-16 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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