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نموذج الانحدار الذاتي المتجه للبيانات المقطعية (Panel VAR)×فار الكميات (Quantile VAR)×نموذج الانحدار الذاتي المتجهي (VAR)×
المجالالاقتصاد القياسيالاقتصاد القياسيالاقتصاد القياسي
العائلةRegression modelRegression modelRegression model
سنة النشأة198820062005
صاحب الطريقةHoltz-Eakin, Newey & RosenKoenker and XiaoLütkepohl (textbook treatment); Sims (1980) macroeconometric tradition
النوعPanel vector autoregressionDistribution impulse responseMultivariate time-series model
المصدر التأسيسيHoltz-Eakin, D., Newey, W. & Rosen, H. S. (1988). Estimating Vector Autoregressions with Panel Data. Econometrica, 56(6), 1371-1395. DOI ↗Koenker, R., & Xiao, Z. (2006). Quantile autoregression. Journal of the American Statistical Association, 101(475), 980-990. DOI ↗Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. DOI ↗
الأسماء البديلةPVAR, panel vector autoregression, Panel VAR (PVAR)Quantile-based impulse responsevector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon
ذات صلة334
الملخصPanel VAR extends the vector autoregression model to panel data, modelling the dynamic interactions among several variables while controlling for cross-unit heterogeneity through fixed effects. It was introduced by Holtz-Eakin, Newey and Rosen in 1988 and produces impulse-response functions and variance decompositions at the panel level.Quantile VAR estimates impulse responses of multivariate systems conditional on different quantiles of the distribution, revealing how shocks propagate heterogeneously across the conditional distribution. Introduced by Koenker and Xiao (2006) and applied to risk measurement by White et al. (2015), it reveals tail behavior and contagion effects invisible to mean-based VAR analysis. This is essential for risk management and understanding how crises propagate differently than normal times.Vector Autoregression is a multivariate time-series model that treats several interdependent series symmetrically, letting each variable depend on its own past values and the past values of all the others. It is the standard tool for capturing mutual causality and joint dynamics, developed in the modern multiple-time-series tradition treated by Lütkepohl (2005).
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ScholarGateقارن الطرق: Panel VAR · Quantile VAR · VAR Model. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare