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Strukturell brott-kvantil-på-kvantil-regression×Zivot-Andrews strukturbrottest×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår2015-2020s1992
UpphovspersonExtension combining Sim & Zhou (2015) QQR framework with Bai-Perron structural break methodologyEric Zivot and Donald W. K. Andrews
TypNonparametric quantile regression with structural breaksUnit root test with endogenous structural break
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 ↗Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270. DOI ↗
AliasSB-QQR, structural-break QQ regression, quantile-on-quantile with structural breaks, QQR with regime shiftsZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test
Närliggande66
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.The Zivot-Andrews (ZA) test is a unit root test that endogenously identifies the most likely location of a single structural break in a time series. Unlike the standard ADF test, it does not require the researcher to pre-specify when the break occurred, making it robust to data-driven regime shifts such as policy changes, financial crises, or major economic events.
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ScholarGateJämför metoder: Structural Break Quantile-on-Quantile Regression · Zivot-Andrews Structural Break Test. Hämtad 2026-06-18 från https://scholargate.app/sv/compare