Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5059499 | Economics Letters | 2013 | 4 Pages |
Abstract
This paper frames indirect inference bias correction as a stochastic root-finding problem and proposes a computationally efficient method to solve it. The technique is applied to the many/weak instrument bias in two-stage least squares estimation. Monte Carlo experiments suggest that the bias-corrected estimator outperforms more common alternatives.
Related Topics
Social Sciences and Humanities
Economics, Econometrics and Finance
Economics and Econometrics
Authors
Vincent Arel-Bundock,