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Strukturell brott-kvantil-på-kvantil-regression×Kvantilregression×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår2015-2020s1978
UpphovspersonExtension combining Sim & Zhou (2015) QQR framework with Bai-Perron structural break methodologyKoenker & Bassett
TypNonparametric quantile regression with structural breaksConditional quantile regression
UrsprungskällaSim, N., and Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking and Finance, 55, 1-8. DOI ↗Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗
AliasSB-QQR, structural-break QQ regression, quantile-on-quantile with structural breaks, QQR with regime shiftsconditional quantile regression, regression quantiles, Kantil Regresyon
Närliggande65
SammanfattningStructural Break Quantile-on-Quantile Regression (SB-QQR) extends the quantile-on-quantile framework of Sim and Zhou (2015) by allowing regression slopes to differ across regimes separated by structural breaks. It maps how the effect of a predictor's quantile on an outcome's quantile changes not only across the full distributional space but also across distinct historical periods or policy regimes.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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ScholarGateJämför metoder: Structural Break Quantile-on-Quantile Regression · Quantile Regression. Hämtad 2026-06-17 från https://scholargate.app/sv/compare