Prediction in a Spatial Nested Error Components Panel Data Model
Mardi | 2013-06-11 salle des thèses Badi H. BALTAJI – Alain PIROTTE This paper derives the Best Linear Unbiased Predictor (BLUP) for a spatial nested error components panel data model. This predictor is useful for panel data applications that exhibit spatial dependence and a nested (hierarchical) structure. The predictor allows for unbalancedness in the number of observations in the nested groups. One application includes forecasting average housing prices located in a county nested in a state. We derive the BLUP […]