विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| फूरियर वेक्टर त्रुटि सुधार मॉडल (फूरियर VECM)× | सदिश त्रुटि सुधार मॉडल (VECM)× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 2004–2012 | 1987 |
| प्रवर्तक≠ | Enders & Lee (2004/2012); extended to VECM by subsequent authors | Robert F. Engle and Clive W. J. Granger |
| प्रकार≠ | Error-correction model with Fourier terms | Multivariate time-series model |
| मौलिक स्रोत≠ | Enders, W., & Lee, J. (2012). A Unit Root Test Using a Fourier Series to Approximate Smooth Breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. DOI ↗ | Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗ |
| उपनाम | Fourier VECM, Fourier-approximation VECM, smooth-break VECM, trigonometric VECM | VECM, error correction VAR, cointegrated VAR, vector equilibrium correction model |
| संबंधित | 5 | 5 |
| सारांश≠ | The Fourier VECM augments the classical vector error correction model with low-frequency trigonometric terms — sine and cosine components — to capture smooth, gradual structural change in cointegrating relationships without specifying the number or timing of breaks in advance. It is used for multivariate cointegrated systems where long-run equilibria may shift gradually over time. | The Vector Error Correction Model extends the Vector Autoregression (VAR) framework to a system of variables that share one or more long-run equilibrium relationships. It jointly models short-run dynamics and the speed at which each variable corrects back toward equilibrium after a shock, making it the standard tool for analysing cointegrated multivariate time series. |
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