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  • Search: subject:"m-testing"
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Year of publication
Subject
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m-testing 3 consistent specification test 1 distributional specification test 1 error components model 1 heteroscedasticity 1 infinite dimensional parameter 1 nonparametric estimation 1 parametric conditional heteroscedasticity models 1 pseudo-maximum likelihood estimation 1 unbalanced panel data 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Language
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Undetermined 3
Author
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LEJEUNE, Bernard 2 Hong, Yongmiao 1 White, Halbert 1
Institution
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Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 2 Department of Economics, University of California-San Diego (UCSD) 1
Published in...
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CORE Discussion Papers 2 University of California at San Diego, Economics Working Paper Series 1
Source
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RePEc 3
Showing 1 - 3 of 3
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A full heteroscedastic one-way error components model allowing for unbalanced panel : Pseudo-maximum likelihood estimation and specification testing
LEJEUNE, Bernard - Center for Operations Research and Econometrics (CORE), … - 2004
order two. Further, we review how, taking advantage of the powerful m-testing framework,the correct specification of the …
Persistent link: https://www.econbiz.de/10005042908
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A diagnostic m-test for distributional specification of parametric conditional heteroscedasticity models for financial data
LEJEUNE, Bernard - Center for Operations Research and Econometrics (CORE), … - 2002
This paper proposes a convenient and generally applicable diognostic m-test for checking the distributional specification of parametric conditional heteroscedasticity models for financial data such as customary student t GARCH model. The proposed test is based on the moments of probability...
Persistent link: https://www.econbiz.de/10005043744
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M-Testing Using Finite and Infinite Dimensional Parameter Estimators
White, Halbert; Hong, Yongmiao - Department of Economics, University of California-San … - 1999
The m-testing approach provides a general and convenient framework in which to view and construct specification tests … for econometric models. Previous m-testing frameworks only consider test statistics that involve finite dimensional … this paper we propose a new m-testing framework using both finite and infinite dimensional parameter estimators, where the …
Persistent link: https://www.econbiz.de/10010536457
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