পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ইমপালস রেসপন্স ফাংশন (IRF)× | স্ট্রাকচারাল ভেক্টর অটোরিগ্ৰেশন (SVAR)× | |
|---|---|---|
| ক্ষেত্র | অর্থমিতি | অর্থমিতি |
| পরিবার | Regression model | Regression model |
| উদ্ভবের বছর≠ | 2005 | 1980 |
| প্রবর্তক≠ | Helmut Lütkepohl | Christopher Sims |
| ধরন≠ | Post-estimation diagnostic | Structural multivariate time-series model |
| মৌলিক উৎস≠ | Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3-540-40172-8 | Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. DOI ↗ |
| অপর নাম | IRF, Dynamic Multiplier, Shock Response Function, Etki Tepki Fonksiyonu | Structural VAR, Identified VAR, SVAR Model, Yapısal Vektör Otoregresyon |
| সম্পর্কিত≠ | 3 | 2 |
| সারসংক্ষেপ≠ | The Impulse Response Function (IRF) traces the dynamic response of each variable in a Vector Autoregression (VAR) system to a one-unit shock in one of its error terms over a user-specified forecast horizon. It is the primary tool for structural analysis following VAR estimation and is widely used in macroeconomics, monetary economics, and finance to quantify how shocks propagate through interconnected time series systems. | Structural Vector Autoregression (SVAR) is a multivariate time-series model, developed by Christopher Sims (1980), that extends the reduced-form VAR by imposing economically motivated identifying restrictions on contemporaneous relationships among variables. SVAR enables researchers to isolate orthogonal structural shocks and trace their causal dynamic effects through impulse response functions and forecast error variance decompositions, making it a cornerstone of modern empirical macroeconomics. |
| ScholarGateডেটাসেট ↗ |
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