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Ujian Sempadan ARDL Tak Linear (NARDL)×Ujian Sempadan ARDL (Ujian Sempadan Pesaran)×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal20142001
PengasasShin, Yu, and Greenwood-NimmoPesaran, Shin & Smith
JenisAsymmetric cointegration testCointegration test / Autoregressive distributed lag 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 ↗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 ↗
AliasNARDL, asymmetric ARDL, nonlinear bounds testing approach, NARDL bounds testingPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)
Berkaitan14
RingkasanThe Nonlinear ARDL bounds test, developed by Shin, Yu, and Greenwood-Nimmo (2014), extends the linear ARDL framework to detect asymmetric long-run relationships in time series. By decomposing a regressor into positive and negative partial sums, NARDL simultaneously tests for cointegration and estimates separate long-run effects for increases and decreases — without requiring all variables to be integrated of the same order.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.
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ScholarGateBandingkan kaedah: Nonlinear ARDL bounds test · ARDL Bounds Test. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare