Parameter orthogonalization and Bayesian inference with many instruments
AbstractIt is examined how Bayesian inference might proceed in models with many instruments. A new prior specification based on Lancaster's (1997) parameter orthogonalization is developed. This orthogonalization is shown to guarantee that the statistical problems associated with the first stage coefficients are not carried over in estimating the parameter of interest.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 112 (2011)
Issue (Month): 2 (August)
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Web page: http://www.elsevier.com/locate/ecolet
Orthogonalization LIML Many instruments;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bekker, Paul A, 1994. "Alternative Approximations to the Distributions of Instrumental Variable Estimators," Econometrica, Econometric Society, vol. 62(3), pages 657-81, May.
- Maddala, G S, 1976. "Weak Priors and Sharp Posteriors in Simultaneous Equation Models," Econometrica, Econometric Society, vol. 44(2), pages 345-51, March.
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