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Модель с параметрами, зависящими от времени, NARDL (TVP-NARDL)×Тест границ ARDL (Pesaran Bounds Test)×Нелинейная авторегрессионная модель с распределенным лагом (NARDL)×
ОбластьЭконометрикаЭконометрикаЭконометрика
СемействоRegression modelRegression modelRegression model
Год появления2019 (TVP extension); 2014 (NARDL base)20012014
Автор методаBagnai & Ospina-Rojas (TVP extension); NARDL base by Shin, Yu & Greenwood-NimmoPesaran, Shin & SmithShin, Yu & Greenwood-Nimmo
ТипNonlinear time-series model with time-varying coefficientsCointegration test / Autoregressive distributed lag modelAsymmetric cointegration / error-correction model
Основополагающий источникShin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In W. Horrace & R. Sickles (Eds.), Festschrift in Honor of Peter Schmidt (pp. 281–314). Springer. link ↗Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16(3), 289–326. 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 ↗
Другие названияTVP-NARDL, time-varying NARDL, rolling NARDL, dynamic asymmetric ARDLPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)nonlinear ARDL, asymmetric ARDL, Doğrusal Olmayan ARDL (NARDL)
Связанные344
СводкаThe Time-Varying Parameter NARDL (TVP-NARDL) model extends the Nonlinear ARDL framework by allowing the coefficients on positive and negative partial sums of a regressor to change over time. This combination captures both asymmetric responses and structural instability in long-run and short-run relationships within a single cointegrating specification.The ARDL bounds test is an autoregressive distributed lag method that tests for a cointegrating (long-run level) relationship between time series, introduced by Pesaran, Shin and Smith in 2001. Unlike the Johansen procedure, it remains valid whether the variables are I(0), I(1) or a mix of the two, and it is more reliable than Johansen in small samples of roughly 30 to 80 observations.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.
ScholarGateНабор данных
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ScholarGateСравнение методов: Time-varying parameter NARDL · ARDL Bounds Test · NARDL Model. Получено 2026-06-18 из https://scholargate.app/ru/compare