This research applies neural network (NN) technology to real estate appraisal and compares the performance of two NN models in estimating the sales price of residential properties with a traditional multiple regression model. The study is based on 288 sales of homes in Fort Collins, Colorado....

This study extends the literature that investigates the use of buyer and seller characteristics in traditional hedonic price equation regressions. This study adds to the existing literature on the relationship between parcel size and price, coined plattage by Colwell and Sirmans (1980). The...

There are many obvious applications for a Geographic Information System (GIS) within real estate but how widely this tool is used, particularly for corporate real estate, is unknown. The results from a survey focusing on how corporate real estate executives use GIS is reported. Results indicate...

Since 1991 the American Real Estate Society (ARES) Board has been working with representatives from around the world to establish an umbrella organization--the International Real Estate Society (IRES). The intent of the organization is to link real estate researchers and educators on an...

Increased competition, falling real estate market values and management fees dependent upon appraised values may create a deadly cocktail for independent real estate appraisers. These factors may encourage appraisers to succumb to client pressures to overvalue properties as well as impair the...

This study explores the use of real estate in investment portfolios of large property/casualty and life insurance companies in the U.S. While the theory of real estate asset allocation has been explored in the literature, the examination of actual practices of portfolio managers is not well...

Linear models of market performance may be misspecified if the market is subdivided into distinct regimes exhibiting different behavior. Price movements in the United States real estate investment trusts and United Kingdom property companies markets are explored using a threshold autoregressive...