Publication Date: January 1997
Revision Date: November 1997
This paper considers a generalized method of moments (GMM) estimation problem in which one has a vector of moment conditions, some of which are correct and some incorrect. The paper introduces several procedures for consistently selecting the correct moment conditions. The procedures also can consistently determine whether there is a suﬀicient number of correct moment conditions to identify the unknown parameters of interest.
The paper speciﬁes moment selection criteria that are GMM analogues of the widely used BIC and AIC model selection criteria. (The latter is not consistent.) The paper also considers downward and upward testing procedures.
All of the moment selection procedures discussed in the paper are based on the minimized values of the GMM criterion function for diﬀerent vectors of moment conditions. The procedures are applicable in time series and cross-sectional contexts.
Application of the results of the paper to instrumental variables estimation problems yields consistent procedures for selecting instrumental variables.
Akaike information criterion, Bayesian information criterion, consistent selection procedure, downward testing procedure, generalized method of moments estimator, instrumental variables estimator, model selection, moment selection, upward testing procedure, test of over-identifying restrictions
See CFP: 979