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Registros recuperados: 3
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Does Where We Live Matter? Understanding the Link Between Obesity and the Market for Food AgEcon
Chen, Susan E.; Florax, Raymond J.G.M.; Snyder, Samantha D..
Paper is under revision. Removed at author's request 10/27/08.
Tipo: Conference Paper or Presentation Palavras-chave: Incidence of obesity and overweight; Spatial lag model; Spatial dependence; Food Consumption/Nutrition/Food Safety; Health Economics and Policy; C21; D1; I18; J10.
Ano: 2007 URL: http://purl.umn.edu/9682
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Does Where You Live Make You Fat? Obesity and Access to Chain Grocers AgEcon
Chen, Susan E.; Florax, Raymond J.G.M.; Snyder, Samantha D..
This paper investigates the role that aspects of the physical environment play in determining health outcomes in adults as measured by body mass index (BMI). Using spatial econometric techniques that allow for spatial spillovers and feedback processes, this research specifically examines how differing levels of access to large chain grocers has on individual health outcomes. While other studies have investigated the impact of proximity to food retailers, the point-coordinate data used in this paper is uniquely suited to spatial econometric estimation at the individual level. In addition to modeling spatial dependence and allowing for unobserved neighborhood effects, the flexibility of the model is increased by incorporating potential spatial...
Tipo: Working or Discussion Paper Palavras-chave: Body mass index; Obesity; Spatial dependence; Obesogenic environments; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Health Economics and Policy; C31; D12; I12; I18.
Ano: 2009 URL: http://purl.umn.edu/53838
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Obesity in Urban Food Markets: Evidence from Geo-referenced Micro Data AgEcon
Chen, Susan E.; Florax, Raymond J.G.M.; Snyder, Samantha D..
This 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...
Tipo: Working or Discussion Paper Palavras-chave: 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.
Ano: 2009 URL: http://purl.umn.edu/49512
Registros recuperados: 3
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