Classes of Similar Regions and Their Power Properties for Some Econometric Testing Problems
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Bibliographic InfoArticle provided by Cambridge University Press in its journal Econometric Theory.
Volume (Year): 3 (1987)
Issue (Month): 01 (February)
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- Giovanni Forchini, . "The Geometry of Similar Tests for Structural Change," Discussion Papers 00/55, Department of Economics, University of York.
- Hillier, Grant, 2009.
"On The Conditional Likelihood Ratio Test For Several Parameters In Iv Regression,"
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- Martellosio, Federico, 2008. "Power Properties of Invariant Tests for Spatial Autocorrelation in Linear Regression," MPRA Paper 7255, University Library of Munich, Germany.
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"Exact Properties Of The Conditional Likelihood Ratio Test In An Iv Regression Model,"
Cambridge University Press, vol. 25(04), pages 915-957, August.
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- G. Forchini, 2005. "Some Properties of Tests for Possibly Unidentified Parameters," Monash Econometrics and Business Statistics Working Papers 21/05, Monash University, Department of Econometrics and Business Statistics.
- Patrick Marsh, . "A Measure of Distance for the Unit Root Hypothesis," Discussion Papers 05/02, Department of Economics, University of York.
- Patrick Marsh, 2006. "Constructing Optimal Tests on a Lagged Dependent Variable," Discussion Papers 06/19, Department of Economics, University of York.
- Giovanni Forchini, 2005. "Weighted Average Power Similar Tests for Structural Change for the Gaussian Linear Regression Model," Monash Econometrics and Business Statistics Working Papers 20/05, Monash University, Department of Econometrics and Business Statistics.
- Forchini, Giovanni, 2005. "Optimal weighted average power similar tests for the covariance structure in the linear regression model," Journal of Econometrics, Elsevier, vol. 124(2), pages 253-267, February.
- Giovanni Forchini & Patrick Marsh, . "Exact Inference for the Unit Root Hypothesis," Discussion Papers 00/54, Department of Economics, University of York.
- Begum, Nelufa & King, Maxwell L., 2005. "Most mean powerful test of a composite null against a composite alternative," Computational Statistics & Data Analysis, Elsevier, vol. 49(4), pages 1079-1104, June.
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