Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/35367
Authors: 
Baltagi, Badi H.
Bresson, Georges
Pirotte, Alain
Year of Publication: 
2009
Series/Report no.: 
IZA Discussion Papers 4242
Abstract: 
This paper compares various forecasts using panel data with spatial error correlation. The true data generating process is assumed to be a simple error component regression model with spatial remainder disturbances of the autoregressive or moving average type. The best linear unbiased predictor is compared with other forecasts ignoring spatial correlation, or ignoring heterogeneity due to the individual effects, using Monte Carlo experiments. In addition, we check the performance of these forecasts under misspecification of the spatial error process, various spatial weight matrices, and heterogeneous rather than homogeneous panel data models.
Subjects: 
Forecasting
BLUP
panel data
spatial dependence
heterogeneity
JEL: 
C33
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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