Racine, Jeffrey S.; Parmeter, Christopher F. - Department of Economics, McMaster University - 2012
When comparing two competing approximate models using a particular loss function, the one having smallest `expected true error' for that loss function is expected to lie closest to the underlying data generating process (DGP) given this loss function and is therefore to be preferred. In this...