পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| শক্তিশালী ভেক্টর অটোরিগ্রেশন (Robust VAR) মডেল× | প্যানেল ভেক্টর অটোরিগ্রেশন (Panel VAR)× | ভেক্টর অটো রিগ্রেশন (VAR) মডেল× | |
|---|---|---|---|
| ক্ষেত্র | অর্থমিতি | অর্থমিতি | অর্থমিতি |
| পরিবার | Regression model | Regression model | Regression model |
| উদ্ভবের বছর≠ | 1980s–2000s | 1988 | 2005 |
| প্রবর্তক≠ | Extensions by Lutkepohl and others building on Sims (1980) VAR framework | Holtz-Eakin, Newey & Rosen | Lütkepohl (textbook treatment); Sims (1980) macroeconometric tradition |
| ধরন≠ | Multivariate time-series model with robust estimation | Panel vector autoregression | Multivariate time-series model |
| মৌলিক উৎস≠ | Goncalves, S., & Kilian, L. (2004). Bootstrapping autoregressions with conditional heteroskedasticity of unknown form. Journal of Econometrics, 123(1), 89-120. DOI ↗ | Holtz-Eakin, D., Newey, W. & Rosen, H. S. (1988). Estimating Vector Autoregressions with Panel Data. Econometrica, 56(6), 1371-1395. DOI ↗ | Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. DOI ↗ |
| অপর নাম≠ | robust VAR, outlier-robust VAR, heavy-tailed VAR, RVAR | PVAR, panel vector autoregression, Panel VAR (PVAR) | vector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon |
| সম্পর্কিত≠ | 5 | 3 | 4 |
| সারসংক্ষেপ≠ | The Robust VAR model extends the classical Vector Autoregression framework by replacing ordinary least squares estimation with robust estimators — such as M-estimators or median-based methods — to reduce the influence of outliers, structural breaks, and heavy-tailed shocks common in financial and macroeconomic time series. | Panel VAR extends the vector autoregression model to panel data, modelling the dynamic interactions among several variables while controlling for cross-unit heterogeneity through fixed effects. It was introduced by Holtz-Eakin, Newey and Rosen in 1988 and produces impulse-response functions and variance decompositions at the panel level. | Vector Autoregression is a multivariate time-series model that treats several interdependent series symmetrically, letting each variable depend on its own past values and the past values of all the others. It is the standard tool for capturing mutual causality and joint dynamics, developed in the modern multiple-time-series tradition treated by Lütkepohl (2005). |
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