Implementing Weak Instrument Robust Tests for a General Class of Instrumental Variables Models
AbstractWe present a minimum distance approach for conducting hypothesis testing in the presence of potentially weak instruments. Under this approach, we propose size correct tests for limited dependent variable models with endogenous explanatory variables such as endogenous Tobit and probit models. Additionally, we extend weak instrument tests for the linear IV model by allowing for variance-covariance estimation that is robust to arbitrary heteroskedasticity or intracluster dependence. We invert these tests to construct confidence intervals on the coefficient of the endogenous variable. We also provide a postestimation command for Stata called ivtest for computing the tests and estimating confidence intervals.
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Bibliographic InfoPaper provided by Tulane University, Department of Economics in its series Working Papers with number 0901.
Length: 22 pages
Date of creation: Jan 2009
Date of revision:
ivtest; ivregress; ivprobit; ivtobit; condivreg; ivreg2; weak instruments; endogenous Tobit; endogenous probit; two-stage least squares; hypothesis testing; confidence intervals;
Other versions of this item:
- Keith Finlay & Leandro M. Magnusson, 2009. "Implementing weak-instrument robust tests for a general class of instrumental-variables models," Stata Journal, StataCorp LP, vol. 9(3), pages 398-421, September.
- 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
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-01-31 (All new papers)
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