Housing growth in Tennessee that incorporates spatial spillover and spatial heterogeneity at the level of census-block group is projected. A deterministic interpolation technique is adopted to create alternative neighborhood variables that captures spatial spillover of neighborhood effects on...

This study uses locally weighted regression to identify county-level characteristics that serve as drivers of creative employment throughout the southern United States. We found that higher per capita income, greater infrastructure investments, and the rural nature of a county tended to promote...

This research analyzes spatial and temporal variation in the effects of lot size and proximity to open space on residential home values in a single Tennessee county. The findings show that the value of proximity to greenways, parks, and water bodies increased over time, while the value of lot...

A two-stage multinomial logit selection model is used to model the relationship between demographic characteristics and housing density across Tennessee’s six metropolitan statistical areas. The study finds that there is both spatial correlation and heterogeneity in the most densely...

This paper examines land development using an integrated approach that combines residential decisions about choices of community in the Southern Appalachian region with the application of the GIS (Geographical Information System). The empirical model infers a distinctive heterogeneity in the...