On the behavior of inconsistent instrumental variable estimators
AbstractResults published recently by Hendry (1979) for the limiting distribution of inconsistent instrumental variable estimators in misspecified dynamic systems are incorrect. In particular, Hendry's derivations involve the use of an appropriate control variate and lead to an expression for the covariance matrix of the limiting distribution which, in general, omits many additional terms. Correct formulae are given in the present paper and the accuracy of the asymptotic distribution in finite samples is investigated in a simple case using the know exact small sample distribution. On the basis of our exact results, we argue for caution in the use of response surface regressions of the type recommended by Hendry in Monte Carlo experiments; and we emphasize the need for qualifying statements concerning the parameter environments in which the adequacy of these regressions has been substantiated.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 19 (1982)
Issue (Month): 2-3 (August)
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- Esfandier Maasoumi & Peter C.B. Phillips, 1980. "On the Behavior of Inconsistent Instrumental Variable Estimators," Cowles Foundation Discussion Papers 568, Cowles Foundation for Research in Economics, Yale University.
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- Ericsson, Neil R, 1986.
"Post-simulation Analysis of Monte Carlo Experiments: Interpreting Pesaran's (1974) Study of Non-nested Hypothesis Test Statistics,"
Review of Economic Studies,
Wiley Blackwell, vol. 53(4), pages 691-707, August.
- Neil R. Ericsson, 1986. "Post-simulation analysis of Monte Carlo experiments: interpreting Pesaran's (1974) study of non-nested hypothesis test statistics," International Finance Discussion Papers 276, Board of Governors of the Federal Reserve System (U.S.).
- Jondeau, Eric & Le Bihan, Hervé, 2008. "Examining bias in estimators of linear rational expectations models under misspecification," Journal of Econometrics, Elsevier, vol. 143(2), pages 375-395, April.
- Jan F. Kiviet & Jerzy Niemczyk, 2006.
"The Asymptotic and Finite Sample Distributions of OLS and Simple IV in Simultaneous Equations,"
Tinbergen Institute Discussion Papers
06-078/4, Tinbergen Institute.
- Kiviet, Jan F. & Niemczyk, Jerzy, 2007. "The asymptotic and finite sample distributions of OLS and simple IV in simultaneous equations," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3296-3318, April.
- Jan F. KIVIET & Jerzy NIEMCZYK, 2013. "On the limiting and empirical distributions of IV estimators when some of the instruments are actually endogenous," Economic Growth centre Working Paper Series 1311, Nanyang Technolgical University, School of Humanities and Social Sciences, Economic Growth centre.
- Alastair R. Hall & Atsushi Inoue, 2005.
"The Large Sample Behaviour of the Generalized Method of Moments Estimator in Misspecified Models,"
- Hall, Alastair R. & Inoue, Atsushi, 2003. "The large sample behaviour of the generalized method of moments estimator in misspecified models," Journal of Econometrics, Elsevier, vol. 114(2), pages 361-394, June.
- Neil R. Ericsson, 1987. "Monte Carlo methodology and the finite sample properties of statistics for testing nested and non-nested hypotheses," International Finance Discussion Papers 317, Board of Governors of the Federal Reserve System (U.S.).
- Jan F. Kiviet & Jerzy Niemczyk, 2006. "The Asymptotic and Finite Sample Distributions of OLS and Simple IV in Simultaneous Equations," Tinbergen Institute Discussion Papers 06-078/4, Tinbergen Institute.
- Hnatkovska, Viktoria & Marmer, Vadim & Tang, Yao, 2012.
"Comparison of misspecified calibrated models: The minimum distance approach,"
Journal of Econometrics,
Elsevier, vol. 169(1), pages 131-138.
- Hnatkovska, Viktoria & Marmer, Vadim & Tang, Yao, 2008. "Comparison of Misspecified Calibrated Models: The Minimum Distance Approach," Microeconomics.ca working papers vadim_marmer-2008-14, Vancouver School of Economics, revised 28 Sep 2011.
- Hendry, David F., 1984. "Monte carlo experimentation in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 16, pages 937-976 Elsevier.
- Susanne M. Schennach, 2007. "Point estimation with exponentially tilted empirical likelihood," Papers 0708.1874, arXiv.org.
- Marmer, Vadim & Otsu, Taisuke, 2008.
"Optimal Comparison of Misspecified Moment Restriction Models under a Chosen Measure of Fit,"
Microeconomics.ca working papers
vadim_marmer-2008-13, Vancouver School of Economics, revised 25 Jul 2011.
- Marmer, Vadim & Otsu, Taisuke, 2012. "Optimal comparison of misspecified moment restriction models under a chosen measure of fit," Journal of Econometrics, Elsevier, vol. 170(2), pages 538-550.
- Vadim Marmer & Taisuke Otsu, 2009. "Optimal Comparison of Misspecified Moment Restriction Models under a Chosen Measure of Fit," Cowles Foundation Discussion Papers 1724, Cowles Foundation for Research in Economics, Yale University, revised Jul 2011.
- Partha Deb & James F. Burgess, Jr., 2003. "A Quasi-experimental Comparison of Econometric Models for Health Care Expenditures," Hunter College Department of Economics Working Papers 212, Hunter College: Department of Economics.
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