A panel estimation of county prevalence of obesity indicates that while the percentage of the population with a completed college degree and the number of food stores available per thousand population are negatively and significantly correlated to county obesity rates, mean commuting time,...

A spatial panel data analysis at the county level examines how individual food consumption, recreational, and lifestyle choices ? against a backdrop of changing demographic, built environment, and policy factors ? leads to obesity. Results suggest that obesity tends to be spatially autocorrelated;...

Obesity constitutes an important public policy issue since it causes external costs to society through increased healthcare costs borne by taxpayers. This study employed random and fixed effects estimations and spatial autoregressive approaches under a panel data structure to unravel possible...

A panel estimation of county prevalence of obesity indicates that while the percentage of the population with a completed college degree and the number of food stores available per thousand population are negatively and significantly correlated to county obesity rates, mean commuting time,...

A spatial panel data analysis at the county level examines how individual food consumption, recreational, and lifestyle choices ? against a backdrop of changing demographic, built environment, and policy factors ? leads to obesity. Results suggest that obesity tends to be spatially autocorrelated;...