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Published on Apr 10, 2012
Created by Dr. Justin Esarey, Assistant Professor of Political Science, Emory University. Date: 4/11/2012. This video covers four basic problems commonly encountered in time-series cross-section data: spatial correlation of the errors, contemporaneous correlation of the errors, autocorrelation of the errors, and unit heterogeneity. Various procedures for handling these difficulties are discussed including: panel corrected standard errors, AR(1) models and LDV models, fixed effects models, and random effects models.