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OLS Teguh (OLS dengan Ralat Piawai Teguh)×Regresi Kuantil×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal19801978
PengasasHalbert WhiteKoenker & Bassett
JenisLinear regression with robust inferenceConditional quantile regression
Sumber perintisWhite, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838. DOI ↗Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗
AliasHC robust regression, White robust OLS, sandwich estimator OLS, OLS with robust standard errorsconditional quantile regression, regression quantiles, Kantil Regresyon
Berkaitan65
RingkasanRobust OLS applies ordinary least squares to estimate coefficients and then replaces the classical standard errors with heteroscedasticity-consistent (HC) standard errors — commonly called White standard errors. This leaves the point estimates unchanged while yielding valid t-statistics and confidence intervals even when the error variance is not constant across observations.Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.
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ScholarGateBandingkan kaedah: Robust OLS · Quantile Regression. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare