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Identification, Weak Instruments and Statistical Inference in Econometrics Author info | Abstract | Publisher info | Download info | Related research | Statistics DUFOUR, Jean-Marie
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We discuss statistical inference problems associated with identification and testability in econometrics, and we emphasize the common nature of the two issues. After reviewing the relevant statistical notions, we consider in turn inference in nonparametric models and recent developments on weakly identified models (or weak instruments). We point out that many hypotheses, for which test procedures are commonly proposed, are not testable at all, while some frequently used econometric methods are fundamentally inappropriate for the models considered. Such situations lead to ill-defined statistical problems and are often associated with a misguided use of asymptotic distributional results. Concerning nonparametric hypotheses, we discuss three basic problems for which such difficulties occur: (1) testing a mean (or a moment) under (too) weak distributional assumptions; (2) inference under heteroskedasticity of unknown form; (3) inference in dynamic models with an unlimited number of parameters. Concerning weakly identified models, we stress that valid inference should be based on proper pivotal functions —a condition not satisfied by standard Wald-type methods based on standard errors — and we discuss recent developments in this field, mainly from the viewpoint of building valid tests and confidence sets. The techniques discussed include alternative proposed statistics, bounds, projection, split-sampling, conditioning, Monte Carlo tests. The possibility of deriving a finite-sample distributional theory, robustness to the presence of weak instruments, and robustness to the specification of a model for endogenous explanatory variables are stressed as important criteria assessing alternative procedures.
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Paper provided by Universite de Montreal, Departement de sciences economiques in its series Cahiers de recherche with number
2003-12.
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Length: 39 pages
Date of creation: 2003Date of revision:
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Keywords: hythesis testing ; confidence set ; confidence interval ; identification ; testability ; asymotic theory ; exact inference ; votal function ; nonrametric model ; Bahadur-Savage ; heteroskedasticity ; serial dendence ; unit root ; simultaneous equations ; structural model ; instrumental variable ; weak instrument ; weak identification ; simultaneous inference ; ojection ; sit-same ; conditional test ; Monte Carlo test ; bootstrap ; Other versions of this item:
Article Paper Jean-Marie Dufour, 2003.
"Identification, Weak Instruments and Statistical Inference in Econometrics ,"
CIRANO Working Papers
2003s-49, CIRANO.
[Downloadable!] DUFOUR, Jean-Marie, 2003.
"Identification, Weak Instruments and Statistical Inference in Econometrics ,"
Cahiers de recherche
10-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
[Downloadable!] Find related papers by JEL classification: C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables C5 - Mathematical and Quantitative Methods - - Econometric Modeling
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References listed on IDEAS 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.: Jean-Marie Dufour, 2001.
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Other versions:
Dufour, J.M., 2001.
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"Logique et tests d'hypotheses: reflexions sur les problemes mal poses en econometrie ,"
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2001-15, Universite de Montreal, Departement de sciences economiques.
[Downloadable!] DUFOUR, Jean-Marie, 2000.
"Économétrie, théorie des tests et philosophie des sciences ,"
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2000-14, Universite de Montreal, Departement de sciences economiques.
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Jean-Marie Dufour, 2000.
"Économétrie, théorie des tests et philosophie des sciences ,"
CIRANO Working Papers
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[Downloadable!] Dufour, J.M., 2000.
"Econometrie, theorie des tests et philosophie des sciences ,"
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Cowles Foundation Discussion Papers
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"The Exact Distribution of LIML: II ,"
International Economic Review ,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(1), pages 21-36, February.
[Downloadable!] (restricted) Jean-Marie Dufour, 1997.
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Econometrica ,
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Econometrica ,
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Marcelo J. Moreira, 2003.
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Econometrica ,
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Hahn, Jinyong & Hausman, Jerry, 2002.
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Economics Letters ,
Elsevier, vol. 75(2), pages 237-241, April.
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