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Goldfelda-Kvanta tests heteroskedasticitātei×Baltā tests heteroskedasticitātei×
NozareEkonometrijaEkonometrija
SaimeHypothesis testRegression model
Izcelsmes gads19651980
AutorsStephen Goldfeld & Richard QuandtHalbert White
TipsF-ratio test for heteroskedasticityGeneral test for heteroskedasticity
PirmavotsGoldfeld, S. M., & Quandt, R. E. (1965). Some tests for homoscedasticity. Journal of the American Statistical Association, 60(310), 539–547. DOI ↗White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838. DOI ↗
Citi nosaukumiGQ Test, Goldfeld-Quandt Heteroskedasticity Test, Split-Sample Variance Ratio Test, Goldfeld-Quandt Homojenlik TestiWhite's general heteroskedasticity test, White değişen varyans testi
Saistītās33
KopsavilkumsThe Goldfeld-Quandt test, introduced by Stephen Goldfeld and Richard Quandt in 1965, is a classical diagnostic procedure for detecting heteroskedasticity in OLS regression. It operates by sorting observations according to a variable suspected of driving variance, omitting a central block, fitting separate regressions on the two tail sub-samples, and comparing their residual variances via an F-ratio. The test is particularly well-suited to situations where the error variance is believed to increase or decrease monotonically with an observed regressor.The White test, introduced by Halbert White in 1980, is a general test for heteroskedasticity that makes no assumption about its functional form. It regresses the squared OLS residuals on the regressors, their squares, and their cross-products, so it can detect heteroskedasticity related to any of these terms. The same 1980 paper introduced the heteroskedasticity-consistent ('White') standard errors that are the standard remedy when the test rejects.
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ScholarGateSalīdzināt metodes: Goldfeld-Quandt Test · White Test. Izgūts 2026-06-19 no https://scholargate.app/lv/compare