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رگرسیون آستانه‌ای×مدل خودرگرسیونی تأخیر توزیع غیرخطی (NARDL)×
حوزهاقتصادسنجیاقتصادسنجی
خانوادهRegression modelRegression model
سال پیدایش20002014
پدیدآورBruce E. HansenShin, Yu & Greenwood-Nimmo
نوعNonlinear regime-switching regressionAsymmetric cointegration / error-correction model
منبع بنیادینHansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603. DOI ↗Shin, Y., Yu, B. & Greenwood-Nimmo, M. (2014). Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework. In: Sickles, R. & Horrace, W. (Eds.), Festschrift in Honor of Peter Schmidt. Springer. DOI ↗
نام‌های دیگرthreshold model, regime-switching regression, sample splitting model, Eşik Değer Regresyonu (Threshold Regression)nonlinear ARDL, asymmetric ARDL, Doğrusal Olmayan ARDL (NARDL)
مرتبط54
خلاصهThreshold regression is a nonlinear, regime-switching model in which the regression parameters take different values above and below an estimated threshold value of a threshold variable. The sample-splitting and threshold-estimation framework was developed by Bruce E. Hansen (2000) and is widely used for time-series and panel data with structural breaks and regime-dependent relationships.The NARDL model, introduced by Shin, Yu and Greenwood-Nimmo in 2014, extends the ARDL framework to capture asymmetric long-run and short-run relationships, testing whether positive and negative changes in a regressor affect the dependent variable differently.
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ScholarGateمقایسهٔ روش‌ها: Threshold Regression · NARDL Model. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare