Examining Housing Prices with a Three-Model Approach
Comparing Spatial Lag, Spatial Error, and Geographically Weighted Regression on the Philadelphia housing market
This project compares three spatial modeling approaches for evaluating the Philadelphia real estate market: Spatial Lag, Spatial Error, and Geographically Weighted Regression (GWR). Each method handles spatial autocorrelation differently, and comparing them highlights how model choice changes both accuracy and the interpretability of local price drivers.