Testing linear hypothesis on regression coefficients after a pre-test for disturbance variance
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Publication:375041
DOI10.1016/0165-1765(85)90138-7zbMath1273.91382OpenAlexW2085238827MaRDI QIDQ375041
Toshihisa Toyoda, Kazuhiro Ohtani
Publication date: 24 October 2013
Published in: Economics Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0165-1765(85)90138-7
Related Items (6)
Estimating the error variance in regression after a preliminary test of restrictions on the coefficients ⋮ Testing the disturbance variance after a pre-test for a linear hypothesis on coefficients in a linear regression ⋮ Post-\(J\) test inference in non-nested linear regression models ⋮ Preliminary-test estimation of the standard error of estimate in linear regression ⋮ Some sampling properties of the two-stage test in a linear regression with a proxy variable ⋮ On pooling disturbance variances when the goal is testing restrictions on regression coefficients
Cites Work
- The sampling performance of pre-test estimators of the scale parameter under squared error loss
- Estimation of a regression coefficient after two preliminary tests of significance
- Estimation of regression coefficients after a preliminary test for homoscedasticity
- Estimation of variance after a preliminary test of homogeneity and optimal levels of significance for the pre-test
- Testing equality of means after a preliminary test of equality of variances
- Finite Sample Moments of a Preliminary Test Estimator in the Case of Possible Heteroscedasticity
- Weaker Criteria and Tests for Linear Restrictions in Regression
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