We study the effect of livestock operations on property values using a hedonic analysis in five Ohio townships. Unlike previous studies, we account for endogenous livestock location variables and spatially correlated errors. Results suggest failure to correct for these problems results in biased...

We posit a spatially explicit, county-level model of the hog production sector and estimate how numerous firm-specific, locality-specific, and spatial agglomeration factors affect the location, movement, and intensity of hog production within 15 key hog production states. Spatial agglomeration,...

Scattered residential development is explained using a theoretical model of residential location in which household interactions generate externalities that determine location choices. Results demonstrate the role of income and heterogeneous preferences in generating this form of sprawl. Among...

A spatial probit model is estimated to test the influence of public services and neighborhood characteristics on relocation decisions of homebuyers in the Columbus, Ohio region. The model explicitly accounts for the spatial error autocorrelation that arises due to unobserved similarities across...

Spatial econometric methods are used to investigate whether land use changes in one county are affected by changes in surrounding counties. Spatial dependence is hypothesized to arise from land substitution effects among neighboring counties. The estimation uses data on land use change for 1,055...