This paper aims at establishing empirical facts on the fundamental determinants of real
estate prices. It contributes to the literature by analysing a unique panel dataset covering a …

Purpose The development and testing of the hedonic methods for property valuation require
statistical analysis and professional preparation of relevant databases. As a first step, the …

Economic evaluations of invasive species are essential for providing comprehensive
assessments of the benefits and costs of publicly-funded management activities, yet many …

Over the last decade the residential housing market has emerged as a lucrative, fast-
growing and increasingly competitive sector of China's economy. Focusing on Wuhan–one …

Comparing predictive performance of general regression neural network (GRNN) and hedonic
regression model for factors affecting housing prices in “Pune-India” | Emerald Insight Books …

The recently proposed 'weighted average least squares'(WALS) estimator is a Bayesian
combination of frequentist estimators. It has been shown that the WALS estimator possesses …

ABSTRACT Point estimates from Automated Valuation Models (AVMs) represent the most
likely value from a distribution of possible values. The uncertainty in the point estimate–the …

Although previous research indicates that condominium unit location within a development
has an effect on its value, no research has examined oceanfront condominium units and the …

In real estate valuation using the Hedonic Price Model (HPM) estimated via Ordinary Least
Squares (OLS) regression, subjectivity and measurement errors in the independent …

Abstract The FORTIFIED Home Program is a voluntary construction and re-roofing program
designed to strengthen residential properties to withstand damages from severe weather …