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Some Properties of Tests for Possibly Unidentified Parameters Author info | Abstract | Publisher info | Download info | Related research | Statistics G. Forchini ()
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It is well known that confidence intervals for weakly identified parameters are unbounded with positive probability (e.g. Dufour, Econometrica 65, pp. 1365-1387 and Staiger and Stock, Econometrica 65, pp. 557-586), and that the asymptotic risk of their estimators is unbounded (Pötscher, Econometrica 70, pp.1035-1065). In this note we extend these "impossibility results" and show that uniformly consistent tests for weakly identified parameters do not exist. We also show that all similar tests of size a < 1/2 concerning possibly unidentified parameters have type II error probability that can be as large as 1 - a.
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Paper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number
21/05.
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Length: 14 pages
Date of creation: Sep 2005Date of revision:
Handle: RePEc:msh:ebswps:2005-21Contact details of provider: Postal: PO Box 11E, Monash University, Victoria 3800, Australia Phone: +61-3-9905-2489 Fax: +61-3-9905-5474 Email: Web page: http://www.buseco.monash.edu.au/depts/ebs/ More information through EDIRC
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Keywords: Similar tests ; consistent tests ; weak instruments ; identification ; Other versions of this item:
Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
This paper has been announced in the following NEP Reports :
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.: Hillier, Grant H., 1987.
"Classes of Similar Regions and Their Power Properties for Some Econometric Testing Problems ,"
Econometric Theory ,
Cambridge University Press, vol. 3(01), pages 1-44, February.
[Downloadable!]
James H. Stock & Jonathan Wright, 2000.
"GMM with Weak Identification ,"
Econometrica ,
Econometric Society, vol. 68(5), pages 1055-1096, September.
Jean-Marie Dufour, 1997.
"Some Impossibility Theorems in Econometrics with Applications to Structural and Dynamic Models ,"
Econometrica ,
Econometric Society, vol. 65(6), pages 1365-1388, November.
Frank Kleibergen, 2005.
"Testing Parameters in GMM Without Assuming that They Are Identified ,"
Econometrica ,
Econometric Society, vol. 73(4), pages 1103-1123, 07.
[Downloadable!] (restricted)
Other versions: Frank Kleibergen, 2002.
"Pivotal Statistics for Testing Structural Parameters in Instrumental Variables Regression ,"
Econometrica ,
Econometric Society, vol. 70(5), pages 1781-1803, September.
[Downloadable!] (restricted)
Other versions: Patrik Buggenberger & Richard Smith, 2003.
"Generalized empirical likelihood estimators and tests under partial, weak and strong identification ,"
CeMMAP working papers
CWP08/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
[Downloadable!]
Other versions:
Guggenberger, Patrik & Smith, Richard J., 2005.
"Generalized Empirical Likelihood Estimators And Tests Under Partial, Weak, And Strong Identification ,"
Econometric Theory ,
Cambridge University Press, vol. 21(04), pages 667-709, August.
[Downloadable!] Marcelo J. Moreira, 2003.
"A Conditional Likelihood Ratio Test for Structural Models ,"
Econometrica ,
Econometric Society, vol. 71(4), pages 1027-1048, 07.
[Downloadable!] (restricted)
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