Correction For Spatial And Temporal Auto-Correlation In Panel Data: Using R To Estimate Spatial HAC Errors Per Conley

Darin Christensen and Thiemo Fetzer tl;dr: Fast computation of standard errors that allows for serial and spatial auto-correlation. Economists and political scientists often employ panel data that track units (e.g., firms or villages) over time. When estimating regression models using such data, we often need to be concerned about two forms of auto-correlation: serial (within … Continue reading Correction For Spatial And Temporal Auto-Correlation In Panel Data: Using R To Estimate Spatial HAC Errors Per Conley →