The distributions of the \(J\) and Cox non-nested tests in regression models with weakly correlated regressors
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Publication:1808551
DOI10.1016/S0304-4076(99)00026-3zbMath0943.62067MaRDI QIDQ1808551
Publication date: 10 September 2000
Published in: Journal of Econometrics (Search for Journal in Brave)
Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05) Monte Carlo methods (65C05)
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Cites Work
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- Alternative procedures and associated tests of significance for non- nested hypotheses
- Tests of non-nested regression models. Small sample adjustments and Monte Carlo evidence
- Statistical inference in non-nested econometric models
- Some aspects of testing non-nested hypotheses
- The Encompassing Principle and its Application to Testing Non-Nested Hypotheses
- Several Tests for Model Specification in the Presence of Alternative Hypotheses
- On the General Problem of Model Selection
- Instrumental Variables Regression with Weak Instruments
- The underlying structure of nonnested hypothesis tests