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Байєсівський тест меж ARDL×Тест меж ARDL (Тест меж Pesaran)×
ГалузьЕконометрикаЕконометрика
РодинаRegression modelRegression model
Рік появи2001 (ARDL); Bayesian extension 2010s2001
Автор методуPesaran, Shin & Smith (ARDL framework, 2001); Bayesian adaptation by subsequent literaturePesaran, Shin & Smith
ТипCointegration / bounds testingCointegration test / Autoregressive distributed lag model
Основоположне джерелоPesaran, 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 ↗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 ↗
Інші назвиBayesian ARDL, Bayesian bounds testing approach, Bayes ARDL cointegration, Bayesian PSS bounds testPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)
Пов'язані54
ПідсумокThe Bayesian ARDL Bounds Test extends the classical Pesaran-Shin-Smith (2001) bounds testing approach to cointegration by embedding it within a Bayesian inferential framework. Instead of relying on frequentist F- and t-statistics with tabulated critical values, the researcher specifies prior distributions on the model parameters and derives posterior evidence of a long-run level relationship between variables that may be integrated of order zero or one.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.
ScholarGateНабір даних
  1. v1
  2. 2 Джерела
  3. PUBLISHED
  1. v1
  2. 2 Джерела
  3. PUBLISHED

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ScholarGateПорівняння методів: Bayesian ARDL Bounds Test · ARDL Bounds Test. Отримано 2026-06-18 з https://scholargate.app/uk/compare