Unveiling Spatial Effects: How Misspecification Impacts Regression Models
Spatial econometrics studies how spatial relationships impact data analysis. The article discusses how to detect and account for spatial effects in regression models. By using cross-correlation statistics, researchers can identify spatial autocorrelation in two-dimensional data. The study reviews tools for exploring spatial data and tests for misspecification in linear regression models. The goal is to help practitioners analyze spatial data more effectively.