Branch Rickey's Equation Fifty Years Later
AbstractThis paper reviews recent developments in methods for dealing with weak instruments (IVs) in IV regression models. The focus is more on tests (and confidence intervals derived from tests) than estimators. The paper also presents new testing results under "many weak IV asymptotics," which are relevant when the number of IVs is large and the coefficients on the IVs are relatively small. Asymptotic power envelopes for invariant tests are established. Power comparisons of the conditional likelihood ratio (CLR), Anderson-Rubin, and Lagrange multiplier tests are made. Numerical results show that the CLR test is on the asymptotic power envelope. This holds no matter what the relative magnitude of the IV strength to the number of IVs.
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Bibliographic InfoPaper provided by Yale School of Management in its series Yale School of Management Working Papers with number amz2390.
Date of creation: 01 Jul 2005
Date of revision: 01 Aug 2007
Branch Rickey's equation; on-base percentage;
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