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Fourier kvantilno-na-kvantilnu regresiju×Panelna kvantilno-na-kvantilna regresija×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka2015-2020s2015 (QQ); panel applications from ~2018
TvoracExtension combining Sim & Zhou (2015) QQ regression with Fourier flexible-form smoothingSim and Zhou (cross-section QQ); panel extension in applied energy/finance econometrics
VrstaNonparametric quantile regression with Fourier smoothingNonparametric quantile regression
Temeljni izvorSim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking and Finance, 55, 1-8. DOI ↗Sim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking and Finance, 55, 1-8. DOI ↗
Drugi naziviFourier QQ regression, Fourier-QQR, Fourier quantile regression with quantile regressors, smooth structural-break QQ regressionPanel QQ regression, panel QQ approach, panel quantile-on-quantile approach, PQQ regression
Srodne66
SažetakFourier quantile-on-quantile regression extends the quantile-on-quantile (QQ) framework of Sim and Zhou (2015) by embedding Fourier trigonometric terms into the local linear quantile model. This allows the estimated dependence between the quantiles of one variable and the quantiles of another to vary smoothly over time, capturing gradual structural change without imposing a known break date.Panel quantile-on-quantile (QQ) regression jointly maps any quantile of the outcome distribution onto any quantile of the predictor distribution across multiple cross-sectional units observed over time. It generalises Sim and Zhou's (2015) cross-sectional QQ framework to a panel setting, revealing a full dependence surface rather than a single average effect, while accounting for individual heterogeneity through fixed or random effects correction.
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ScholarGateUsporedite metode: Fourier Quantile-on-Quantile Regression · Panel Quantile-on-Quantile Regression. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare