Moments of IV and JIVE Estimators
Abstract
We develop a new method, based on the use of polar coordinates, to investigate the existence of moments for instrumental variables and related estimators in the linear regression model. For generalized IV estimators, we obtain familiar results. For JIVE, we obtain the new result that this estimator has no moments at all. Simulation results illustrate the consequences of its lack of moments.Download Info
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Paper provided by Queen's University, Department of Economics in its series Working Papers with number 1085.Length: 18 pages
Date of creation: Jun 2006
Date of revision:
Handle: RePEc:qed:wpaper:1085
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Related research
Keywords: polar coordinates; simultaneous equations; JIVE; moments; instrumental variables;Other versions of this item:
- Russell Davidson & James G. MacKinnon, 2007. "Moments of IV and JIVE estimators," Econometrics Journal, Royal Economic Society, vol. 10(3), pages 541-553, November.
- Russell Davidson & James MacKinnon, 2006. "Moments Of Iv And Jive Estimators," Departmental Working Papers 2006-22, McGill University, Department of Economics.
- Russell Davidson & James Mackinnon, 2009. "Moments of IV and JIVE estimators," Working Papers halshs-00442692, HAL.
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-07-09 (All new papers)
- NEP-ECM-2006-07-09 (Econometrics)
References
References listed on IDEASPlease 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.:
- Russell Davidson & James G. MacKinnon, 2004.
"The Case Against JIVE,"
Working Papers
1031, Queen's University, Department of Economics.
- James G. MacKinnon & Russell Davidson, 2006. "The case against JIVE," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 827-833.
- Russell Davidson & James MacKinnon, 2006. "The Case Against Jive," Departmental Working Papers 2004-02, McGill University, Department of Economics.
- Blomquist, Soren & Dahlberg, Matz, 1999. "Small Sample Properties of LIML and Jackknife IV Estimators: Experiments with Weak Instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 69-88, Jan.-Feb..
- Fuller, Wayne A, 1977. "Some Properties of a Modification of the Limited Information Estimator," Econometrica, Econometric Society, vol. 45(4), pages 939-53, May.
- Joshua D. Angrist & Guido W. Imbens & Alan Krueger, 1995.
"Jackknife Instrumental Variables Estimation,"
NBER Technical Working Papers
0172, National Bureau of Economic Research, Inc.
- Angrist, J D & Imbens, G W & Krueger, A B, 1999. "Jackknife Instrumental Variables Estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 57-67, Jan.-Feb..
- Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2004. "Estimation with weak instruments: Accuracy of higher-order bias and MSE approximations," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 272-306, 06.
- Kinal, Terrence W, 1980. "The Existence of Moments of k-Class Estimators," Econometrica, Econometric Society, vol. 48(1), pages 241-49, January.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Russell Davidson & James G. MacKinnon, 2004.
"The Case Against JIVE,"
Working Papers
1031, Queen's University, Department of Economics.
- James G. MacKinnon & Russell Davidson, 2006. "The case against JIVE," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 827-833.
- Russell Davidson & James MacKinnon, 2006. "The Case Against Jive," Departmental Working Papers 2004-02, McGill University, Department of Economics.
- Stefan Boes, 2007. "Count Data Models with Unobserved Heterogeneity: An Empirical Likelihood Approach," Working Papers 0704, University of Zurich, Socioeconomic Institute.
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