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फूरियर क्वांटाइल-ऑन-क्वांटाइल रिग्रेशन×पैनल क्वांटाइल-ऑन-क्वांटाइल रिग्रेशन×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष2015-2020s2015 (QQ); panel applications from ~2018
प्रवर्तकExtension combining Sim & Zhou (2015) QQ regression with Fourier flexible-form smoothingSim and Zhou (cross-section QQ); panel extension in applied energy/finance econometrics
प्रकारNonparametric quantile regression with Fourier smoothingNonparametric quantile regression
मौलिक स्रोतSim, 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 ↗
उपनामFourier 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
संबंधित66
सारांशFourier 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.
ScholarGateडेटासेट
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  1. v1
  2. 2 स्रोत
  3. PUBLISHED

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