Higher order approximations of IV statistics that indicate their properties under weak or many instruments
AbstractWe show that the higher order biases of instrumental variable statistics in the strong instrument case indicate the degeneracy of the first order asymptotic distributions of these statistics under weak or many instrument asymptotics. We express the higher order approximations using an estimator of the concentration parameter that is independent of the product of the instruments and the structural errors. The expressions of the higher order approximations of IV statistics whose first order asymptotic distributions are robust to instrument quality remain unaltered under weak and strong instruments. The higher order expressions of IV statistics whose first order asymptotic distributions depend on instrument quality also depend on that
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Bibliographic InfoPaper provided by Econometric Society in its series Econometric Society 2004 North American Winter Meetings with number 199.
Date of creation: 11 Aug 2004
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weak and many instruments; higher order approximation;
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- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
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