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Teste de White para Heteroscedasticidade×Teste de Breusch-Pagan para Heteroscedasticidade×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem19801979
Autor originalHalbert WhiteTrevor Breusch & Adrian Pagan
TipoGeneral test for heteroskedasticityLagrange-multiplier test for heteroskedasticity
Fonte seminalWhite, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838. DOI ↗Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287–1294. DOI ↗
Outros nomesWhite's general heteroskedasticity test, White değişen varyans testiBP test, Breusch-Pagan-Godfrey test, Lagrange multiplier test for heteroskedasticity, Breusch-Pagan değişen varyans testi
Relacionados33
ResumoThe 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.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: White Test · Breusch-Pagan Test. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare