Сравнение методов

	Байесовский ARDL-тест на коинтеграцию	Модель нелинейной авторегрессии с распределенным лагом (NARDL)
Область	Эконометрика	Эконометрика
Семейство	Regression model	Regression model
Год появления	2001 (ARDL); Bayesian extension 2010s	2014
Автор метода	Pesaran, Shin & Smith (ARDL framework, 2001); Bayesian adaptation by subsequent literature	Shin, Yu & Greenwood-Nimmo
Тип	Cointegration / bounds testing	Nonlinear cointegration model
Основополагающий источник	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.	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.
Другие названия	Bayesian ARDL, Bayesian bounds testing approach, Bayes ARDL cointegration, Bayesian PSS bounds test	NARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
Связанные	5	5
Сводка	The 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 Nonlinear ARDL (NARDL) model extends the linear ARDL bounds-testing framework to allow asymmetric long-run and short-run relationships. By decomposing the regressor into cumulative positive and negative partial sums, it tests whether increases and decreases in a variable exert different effects on the outcome — a feature especially relevant in financial and energy economics where positive and negative shocks rarely cancel out symmetrically.