ABSTRACT : |
This study attempts to examine the factors correlated with land price and then estimate the future land price by applying the pricing model which incorporated those factors. Aland price model derived from multiple regression analysis is developed for the purpose. Correlation analysis has been carried out to study the impact, as well as the co-movement of the land price and the independent variables. The coefficient of determination (R2) indicates that about 99.5% of the land price is explained by this multiple regression model.
Keywords:Land Price, Economic Factors, Regression Analysis, Land Price Model, Future tren
|
|