Abstract
Hedonic models have been used by many scholars to forecast prices of housing properties. By incorporating such features as neighborhood quality, environmental factors, and the type of improvements made to a property, the price of a property may be forecast using a hedonic model. This study utilized property sales information of single family homes sold within a portion of the Bryan, Texas, city limits. A comprehensive database of selected residential properties was developed and incorporated into a Geographic Information System (GIS). A hedonic model was used to assess market values for the selected single-family properties in Bryan based on housing and neighborhood characteristics such as racial neighborhood make-up, environmental factors, and the type of improvements made to a property. In addition, various spatial measures and spatial autocorrelation measures were evaluated to determine if there was any spatial dependence between racial makeup and the sales price of a residence. Hedonic modeling, GIS, and the various spatial measures were employed to determine if residential segregation exists within Bryan, Texas.
Esch, Stephen Alexander (1997). An assessment of single-family housing prices and residential segregation using GIS in Bryan, Texas. Master's thesis, Texas A&M University. Available electronically from
https : / /hdl .handle .net /1969 .1 /ETD -TAMU -1997 -THESIS -E87.