A Note on Likelihood Ratio Tests for the Independence between a Subset of Stochastic Regressors and Disturbances
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Cited by:
- Doko Tchatoka, Firmin Sabro, 2012.
"Specification Tests with Weak and Invalid Instruments,"
MPRA Paper
40185, University Library of Munich, Germany.
- Firmin Doko Tchatoka, 2014. "Specification Tests with Weak and Invalid Instruments," School of Economics and Public Policy Working Papers 2014-05, University of Adelaide, School of Economics and Public Policy.
- Doko Tchatoka, Firmin, 2012. "Specification tests with weak and invalid instruments," Working Papers 15063, University of Tasmania, Tasmanian School of Business and Economics, revised 26 Jun 2012.
- Nawata, Kazumitsu & McAleer, Michael, 2014.
"The maximum number of parameters for the Hausman test when the estimators are from different sets of equations,"
Economics Letters, Elsevier, vol. 123(3), pages 291-294.
- Kazumitsu Nawata & Michael McAleer, 2013. "The Maximum Number of Parameters for the Hausman Test When the Estimators are from Different Sets of Equations," Documentos de Trabajo del ICAE 2013-39, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Kazumitsu Nawata & Michael McAleer, 2014. "The Maximum Number of Parameters for the Hausman Test When the Estimators are from Different Sets of Equations," Working Papers in Economics 14/02, University of Canterbury, Department of Economics and Finance.
- Nawata, K. & McAleer, M.J., 2013. "The maximum Number of parameters for the Hausman Test When the Estimators are from Different Sets of Equations," Econometric Institute Research Papers EI2013-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Kazumitsu Nawata & Michael McAleer, 2013. "The Maximum Number of Parameters for the Hausman Test When the Estimators are from Different Sets of Equations," Tinbergen Institute Discussion Papers 13-197/III, Tinbergen Institute.
- Firmin Doko Tchatoka & Jean‐Marie Dufour, 2014.
"Identification‐robust inference for endogeneity parameters in linear structural models,"
Econometrics Journal, Royal Economic Society, vol. 17(1), pages 165-187, February.
- Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2012. "Identification-robust inference for endogeneity parameters in linear structural models," Working Papers 15064, University of Tasmania, Tasmanian School of Business and Economics, revised 01 Aug 2012.
- Firmin Doko Tchatoka & Jean-Marie Dufour, 2014. "Identification-robust inference for endogeneity parameters in linear structural models," CIRANO Working Papers 2014s-17, CIRANO.
- Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2012. "Identification-robust inference for endogeneity parameters in linear structural models," MPRA Paper 40695, University Library of Munich, Germany.
- Firmin DOKO TCHATOKA & Jean-Marie DUFOUR, 2014. "Identification-Robust Inference for Endogeneity Parameters in Linear Structural Models," Cahiers de recherche 03-2014, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Firmin DOKO TCHATOKA & Jean-Marie DUFOUR, 2016.
"Exogeneity Tests, Incomplete Models, Weak Identification and Non-Gaussian Distributions : Invariance and Finite-Sample Distributional Theory,"
Cahiers de recherche
14-2016, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Firmin Doko Tchatoka & Jean-Marie Dufour, 2017. "Exogeneity Tests, Incomplete Models, Weak Identification and Non-Gaussian Distributions: Invariance and Finite-Sample Distributional Theory," School of Economics Working Papers 2017-01, University of Adelaide, School of Economics.
- Firmin Doko Tchatoka & Jean-Marie Dufour, 2016. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: invariance and finite-sample distributional theory," CIRANO Working Papers 2016s-62, CIRANO.
- Firmin Doko Tchatoka, 2015.
"On bootstrap validity for specification tests with weak instruments,"
Econometrics Journal, Royal Economic Society, vol. 18(1), pages 137-146, February.
- Doko Tchatoka, Firmin, 2013. "On bootstrap validity for specification tests with weak instruments," Working Papers 16875, University of Tasmania, Tasmanian School of Business and Economics, revised 05 Aug 2013.
- Firmin Doko Tchatoka, 2014. "On Bootstrap Validity for Specification Tests with Weak Instruments," School of Economics and Public Policy Working Papers 2014-06, University of Adelaide, School of Economics and Public Policy.
- Doko Tchatoka, Firmin, 2013. "On bootstrap validity for specification tests with weak instruments," MPRA Paper 47485, University Library of Munich, Germany.
- Kiviet, Jan F. & Pleus, Milan, 2017.
"The performance of tests on endogeneity of subsets of explanatory variables scanned by simulation,"
Econometrics and Statistics, Elsevier, vol. 2(C), pages 1-21.
- Jan F. KIVIET & Milan PLEUS, 2012. "The performance of tests on endogeneity of subsets of explanatory variables scanned by simulation," Economic Growth Centre Working Paper Series 1208, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
- Firmin Doko Tchatoka & Jean-Marie Dufour, 2016. "Exogeneity tests, weak identification, incomplete models and non-Gaussian distributions: Invariance and finite-sample distributional theory," School of Economics and Public Policy Working Papers 2016-01, University of Adelaide, School of Economics and Public Policy.
- Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2020.
"Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: Invariance and finite-sample distributional theory,"
Journal of Econometrics, Elsevier, vol. 218(2), pages 390-418.
- Firmin DOKO TCHATOKA & Jean-Marie DUFOUR, 2016. "Exogeneity Tests, Incomplete Models, Weak Identification and Non-Gaussian Distributions : Invariance and Finite-Sample Distributional Theory," Cahiers de recherche 14-2016, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Firmin Doko Tchatoka & Jean-Marie Dufour, 2016. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: invariance and finite-sample distributional theory," CIRANO Working Papers 2016s-62, CIRANO.
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