The Interpretation of the Cox Test in Econometrics
AbstractThis note seeks to clarify whether applications of Cox's (1961) modified likelihood ratio principle logically require a two- or one-tailed test. Logic requires the test of discrimination be one-tailed and the significance test for non-nested hypotheses be two-tailed. The significance test of a pair of non-nested hypotheses involves another extraneous hypothesis to which the cause of deviation from the tested hypothesis away from the alternative may be attributed.
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Bibliographic InfoPaper provided by Queen's University, Department of Economics in its series Working Papers with number 371.
Date of creation: 1980
Date of revision:
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- J. M. C. Santos Silva, 2001.
"A score test for non-nested hypotheses with applications to discrete data models,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 16(5), pages 577-597.
- J M C Santos Silva, 1996. "A Score Test for Non-nested Hypotheses with Applications to Discrete Data Models," Discussion Papers 96-28 ISSN 1350-6722, University College London, Department of Economics.
- Keunkwan Ryu & Kuo-yuan Liang, 1992. "Relationship of Forecast Encompassing to Composite Forecasts with Simulations and an Application," UCLA Economics Working Papers 668, UCLA Department of Economics.
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