Eigenvector-Based Semiparametric Filtering of Spatial Autocorrelation in Linear Regression Models

• In Event: Better Inference in the Era of Big Data

Brief Overview

Eigenvector spatial filtering resolves misspecification bias due to neglected spatial dependence. This flexible semiparametric approach is widely applicable and requires fewer assumptions than parametric spatial regression models.

Author

• Sebastian Juhl, University of Mannheim