Problems and Solutions for Measurement Error in Spatial Regresion Models

• In Event: Improving Statistical Inference

Brief Overview

We investigate measurement error in variables used in spatial regression models, finding that there are both unique challenges and unique solutions when it occurs. We demonstrate these issues with both Monte Carlo analysis and empirical applications.

Authors

• Garrett N. Vande Kamp, University of Georgia

• Brandon Decker, University of Georgia