Implementing Weak Instrument Robust Tests for a General Class of Instrumental Variables Models
Abstract
We 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.Download Info
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Paper 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:
Handle: RePEc:tul:wpaper:0901
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Related research
Keywords: 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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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
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- A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 106, University of California, Davis, Department of Economics.
- A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 107, University of California, Davis, Department of Economics.
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- Adam Gersl & Petr Jakubik & Dorota Kowalczyk & Steven Ongena & Jose-Luis Peydro Alcalde, 2012. "Monetary Conditions and Banks' Behaviour in the Czech Republic," Working Papers 2012/02, Czech National Bank, Research Department.
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"Education and Freedom of Choice: Evidence from Arranged Marriages in Vietnam,"
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- Emran, M. Shahe & Maret-Rakotondrazaka, Fenohasina & Smith, Stephen C., 2012. "Education and Freedom of Choice: Evidence from Arranged Marriages in Vietnam," IZA Discussion Papers 6862, Institute for the Study of Labor (IZA).
- Kwak, Sungil, 2011. "The Impact of Taxes on Charitable Giving: Empirical Evidence from the Korean Labor and Income Panel Study," MPRA Paper 36845, University Library of Munich, Germany.
- Arndt Reichert, 2012. "Obesity, Weight Loss, and Employment Prospects – Evidence from a Randomized Trial," Ruhr Economic Papers 0381, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
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