This research evaluated forecasting accuracy of hedonic price models based on a number of different submarket assumptions. Using home sale data for the City of Knoxville and vicinities merged with geographic information, we found that forecasting housing prices with submarkets defined using...

The impact of an urban growth boundary (UGB) on land development in Knox County, TN is estimated via two-stage probit and neural-network models. The insignificance of UGB variable in the two-stage probit model and more visible development patterns in the western part of Knoxville and the...

We developed an economic demand model of wildlife hunting and found that sociodemograpahic and ecological characteristics of county are its strong predictors. Result shows that the hunting is not popular among younger generation; and promoting hunting clubs and lease-hunting, recruiting young...

The main objective of this research is to propose a data-driven approach to estimate the amenity values of restoring urban forest landscapes at potential target sites. The approach allows establishing the overall price-driving time relationship between the amenity values attributable to both...

The objective of this research was to analyze the effects of education, health and hospital, parks and recreation, and public welfare expenditures on poverty, focusing particularly on how these relationships change over space and time. Government expenditure on parks and recreation has been the...

This study accounts for spatial spillover and spatial heterogeneity to estimate housing growth between 1990 and 2000 using Tennessee census-block group data. A deterministic estimation method, inverse distance weighted averaging is used to create neighborhood variables that can capture more...