পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বেইসিয়ান ARDL বাউন্ডস টেস্ট× | অরৈখিক এআরডিএল (NARDL) মডেল× | |
|---|---|---|
| ক্ষেত্র | অর্থমিতি | অর্থমিতি |
| পরিবার | Regression model | Regression model |
| উদ্ভবের বছর≠ | 2001 (ARDL); Bayesian extension 2010s | 2014 |
| প্রবর্তক≠ | Pesaran, Shin & Smith (ARDL framework, 2001); Bayesian adaptation by subsequent literature | Shin, Yu & Greenwood-Nimmo |
| ধরন≠ | Cointegration / bounds testing | Nonlinear cointegration model |
| মৌলিক উৎস≠ | 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 R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (pp. 281–314). Springer. link ↗ |
| অপর নাম | Bayesian ARDL, Bayesian bounds testing approach, Bayes ARDL cointegration, Bayesian PSS bounds test | NARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model |
| সম্পর্কিত | 5 | 5 |
| সারসংক্ষেপ≠ | 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. |
| ScholarGateডেটাসেট ↗ |
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