PENALIZED-R-super-2 CRITERIA FOR MODEL SELECTION
Larry W. Taylor
Manchester School, 2009, vol. 77, issue 6, pages 699-717
Abstract:
It is beneficial to observe that popular model selection criteria for the linear model are equivalent to penalized versions of R-super-2. Let PR-super-2 refer to any one of these model selection criteria. Then PR-super-2 serves the dual purpose of selecting the model and summarizing the resulting fit subject to the penalty function. Furthermore, it is straightforward to extend the logic of PR-super-2 to instrumental variables estimation and the non-parametric selection of regressors. For two-stage least squares estimation, a simulation study investigates the finite-sample performance of PR-super-2 to select the correct model in cases of either strong or weak instruments. Copyright © 2009 The Author. Journal compilation © 2009 Blackwell Publishing Ltd and The University of Manchester.
Date: 2009
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