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NARDL Patahan Struktural×Model Koreksi Galat Vektor (VECM)×
BidangEkonometrikaEkonometrika
KeluargaRegression modelRegression model
Tahun asal2014–20181987
PencetusShin, Yu & Greenwood-Nimmo (NARDL base); structural break extensions by subsequent applied researchersRobert F. Engle and Clive W. J. Granger
TipeNonlinear cointegration with structural breaksMultivariate time-series model
Sumber perintisShin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In W. C. Horrace & R. C. Sickles (Eds.), Festschrift in Honor of Peter Schmidt (pp. 281–314). Springer. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
AliasSB-NARDL, NARDL with structural breaks, nonlinear ARDL with break, asymmetric ARDL structural breakVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Terkait65
RingkasanStructural Break NARDL extends the Nonlinear Autoregressive Distributed Lag (NARDL) bounds-testing framework by explicitly accommodating one or more structural breaks in the long-run relationship. It separates positive and negative changes in the regressor, tests for cointegration, and allows regime shifts, providing a richer picture of asymmetric and break-sensitive dynamics between variables.The Vector Error Correction Model extends the Vector Autoregression (VAR) framework to a system of variables that share one or more long-run equilibrium relationships. It jointly models short-run dynamics and the speed at which each variable corrects back toward equilibrium after a shock, making it the standard tool for analysing cointegrated multivariate time series.
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ScholarGateBandingkan metode: Structural Break NARDL · Vector Error Correction Model. Diakses 2026-06-15 dari https://scholargate.app/id/compare