Rank Tests For Instrumental Variables Regression With Weak Instruments
AbstractThis paper considers tests in an instrumental variable (IVs) regression model with IVs that may be weak. Tests that have near-optimal asymptotic power properties with Gaussian errors for weak and strong IVs have been determined in Andrews, Moreira, and Stock (2006, Econometrica 74, 715 752). In this paper, we seek tests that have near-optimal asymptotic power with Gaussian errors and improved power with non-Gaussian errors relative to existing tests. Tests with such properties are obtained by introducing rank tests that are analogous to the conditional likelihood ratio test of Moreira (2003, Econometrica 71, 1027 1048). We also introduce a rank test that is analogous to the Lagrange multiplier test of Kleibergen (2002, Econometrica 70, 1781 1803) and Moreira (2001, manuscript, University of California, Berkeley).Andrews gratefully acknowledges the research support of the National Science Foundation via grant SES-0417911.
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Bibliographic InfoArticle provided by Cambridge University Press in its journal Econometric Theory.
Volume (Year): 23 (2007)
Issue (Month): 06 (December)
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Other versions of this item:
- Donald W.K. Andrews & Gustavo Soares, 2006. "Rank Tests for Instrumental Variables Regression with Weak Instruments," Cowles Foundation Discussion Papers 1564, Cowles Foundation for Research in Economics, Yale University.
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
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- Mathias D. Cattaneo & Richard K. Crump & Michael Jansson, 2007.
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- Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael, 2012. "Optimal inference for instrumental variables regression with non-Gaussian errors," Journal of Econometrics, Elsevier, vol. 167(1), pages 1-15.
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