ScholarGate
ผู้ช่วย

เปรียบเทียบวิธี

ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้

โมเดล Time-Varying Parameter NARDL (TVP-NARDL)×การทดสอบขอบเขต ARDL (การทดสอบขอบเขต Pesaran)×แบบจำลองนัยถดถอยแบบอัตโนมัติแบบไม่เชิงเส้น (NARDL)×การถดถอยแบบมีธรณีประตู×
สาขาวิชาเศรษฐมิติเศรษฐมิติเศรษฐมิติเศรษฐมิติ
ตระกูลRegression modelRegression modelRegression modelRegression model
ปีกำเนิด2019 (TVP extension); 2014 (NARDL base)200120142000
ผู้ริเริ่มBagnai & Ospina-Rojas (TVP extension); NARDL base by Shin, Yu & Greenwood-NimmoPesaran, Shin & SmithShin, Yu & Greenwood-NimmoBruce E. Hansen
ประเภทNonlinear time-series model with time-varying coefficientsCointegration test / Autoregressive distributed lag modelAsymmetric cointegration / error-correction modelNonlinear regime-switching regression
แหล่งต้นตำรับShin, 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 ↗Hansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603. DOI ↗
ชื่อเรียกอื่นTVP-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)threshold model, regime-switching regression, sample splitting model, Eşik Değer Regresyonu (Threshold Regression)
ที่เกี่ยวข้อง3445
สรุปThe 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.Threshold 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.
ScholarGateชุดข้อมูล
  1. v1
  2. 2 แหล่งอ้างอิง
  3. PUBLISHED
  1. v1
  2. 2 แหล่งอ้างอิง
  3. PUBLISHED
  1. v1
  2. 1 แหล่งอ้างอิง
  3. PUBLISHED
  1. v1
  2. 1 แหล่งอ้างอิง
  3. PUBLISHED

ไปที่หน้าค้นหา ดาวน์โหลดสไลด์

ScholarGateเปรียบเทียบวิธี: Time-varying parameter NARDL · ARDL Bounds Test · NARDL Model · Threshold Regression. สืบค้นเมื่อ 2026-06-17 จาก https://scholargate.app/th/compare