Behl, PeterDette, HolgerFrondel, ManuelTauchmann, Harald2010-10-272010-10-272010-10-27http://hdl.handle.net/2003/2743810.17877/DE290R-15657In contrast to conventional measures, the Focused Information Criterion (FIC) allows the purpose-specific selection of models, thereby reflecting the idea that one kind of model might be appropriate for inferences on a parameter of interest, but not for another. Ever since its introduction, the FIC has been increasingly applied in the realm of statistics, but this concept appears to be virtually unknown in the economic literature. Using a straightforward analytical example, this paper illustrates the FIC and its usefulness in economic applications. JEL classification: C3, D2enDiscussion Paper / SFB 823;42/2010AKAIKE Information CriterionSCHWARZ Information CriterionTranslog Cost Function310330620working paper