পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Time-Varying Parameter NARDL (TVP-NARDL)× | ARDL বাউন্ডস টেস্ট (পেসারান বাউন্ডস টেস্ট)× | ননলিনিয়ার অটোরিগ্রেসিভ ডিস্ট্রিবিউটেড ল্যাগ (NARDL) মডেল× | |
|---|---|---|---|
| ক্ষেত্র | অর্থমিতি | অর্থমিতি | অর্থমিতি |
| পরিবার | Regression model | Regression model | Regression model |
| উদ্ভবের বছর≠ | 2019 (TVP extension); 2014 (NARDL base) | 2001 | 2014 |
| প্রবর্তক≠ | Bagnai & Ospina-Rojas (TVP extension); NARDL base by Shin, Yu & Greenwood-Nimmo | Pesaran, Shin & Smith | Shin, Yu & Greenwood-Nimmo |
| ধরন≠ | Nonlinear time-series model with time-varying coefficients | Cointegration test / Autoregressive distributed lag model | Asymmetric cointegration / error-correction model |
| মৌলিক উৎস≠ | Shin, 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 ↗ |
| অপর নাম≠ | TVP-NARDL, time-varying NARDL, rolling NARDL, dynamic asymmetric ARDL | Pesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test) | nonlinear ARDL, asymmetric ARDL, Doğrusal Olmayan ARDL (NARDL) |
| সম্পর্কিত≠ | 3 | 4 | 4 |
| সারসংক্ষেপ≠ | The 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. |
| ScholarGateডেটাসেট ↗ |
|
|
|