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Regression modelEconometrics / time series

Kielelezo cha Utegemezi wa Kujirudia kwa Kiasi Kidogo (NARDL)

Kielelezo cha NARDL (Nonlinear Autoregressive Distributed Lag) kinapanua mfumo wa upimaji wa mipaka wa ARDL ili kuruhusu uhusiano usiokuwa wa mstari wa muda mrefu na mfupi. Kwa kugawanya kigezo kinachoelezea katika jumla zake za sehemu chanya na hasi, kinapima kama ongezeko na upungufu katika kirejeleo vina athari tofauti kwa kigezo tegemezi — kipengele ambacho mbinu za kawaida za ushirikiano wa mstari haziwezi kukamata.

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Vyanzo

  1. Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (pp. 281-314). Springer. DOI: 10.1007/978-1-4899-8008-3_9
  2. 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: 10.1002/jae.616

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Nonlinear Autoregressive Distributed Lag Model. ScholarGate. https://scholargate.app/sw/econometrics/nonlinear-nardl

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ScholarGateNonlinear NARDL (Nonlinear Autoregressive Distributed Lag Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/nonlinear-nardl · Seti ya data: https://doi.org/10.5281/zenodo.20539026