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Teste de Goldfeld-Quandt para Heterocedasticidade×Teste de Breusch-Pagan para Heteroscedasticidade×
ÁreaEconometriaEconometria
FamíliaHypothesis testRegression model
Ano de origem19651979
Autor originalStephen Goldfeld & Richard QuandtTrevor Breusch & Adrian Pagan
TipoF-ratio test for heteroskedasticityLagrange-multiplier test for heteroskedasticity
Fonte seminalGoldfeld, S. M., & Quandt, R. E. (1965). Some tests for homoscedasticity. Journal of the American Statistical Association, 60(310), 539–547. DOI ↗Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287–1294. DOI ↗
Outros nomesGQ Test, Goldfeld-Quandt Heteroskedasticity Test, Split-Sample Variance Ratio Test, Goldfeld-Quandt Homojenlik TestiBP test, Breusch-Pagan-Godfrey test, Lagrange multiplier test for heteroskedasticity, Breusch-Pagan değişen varyans testi
Relacionados33
ResumoThe 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 Breusch-Pagan test, introduced by Trevor Breusch and Adrian Pagan in 1979, is a Lagrange-multiplier test for heteroskedasticity — the condition where the variance of a regression's errors changes with the explanatory variables. It works by regressing the squared OLS residuals on candidate variables and checking whether they explain any of the residual variation, signalling that the constant-variance assumption is violated.
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ScholarGateComparar métodos: Goldfeld-Quandt Test · Breusch-Pagan Test. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare