Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Kipimo cha Uunganishaji wa Johansen na Kielelezo cha Mfumo wa Kurekebisha Makosa× | Muundo wa Uhusiano wa Kiotomatiki wa Vecta (VAR)× | |
|---|---|---|
| Nyanja≠ | Fedha | Ekonometriki |
| Familia | Regression model | Regression model |
| Mwaka wa asili≠ | 1991 | 2005 |
| Mwanzilishi≠ | Søren Johansen | Lütkepohl (textbook treatment); Sims (1980) macroeconometric tradition |
| Aina≠ | Multivariate cointegration / vector error correction model | Multivariate time-series model |
| Chanzo asilia≠ | Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗ | Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. DOI ↗ |
| Majina mbadala≠ | Johansen test, VECM, vector error correction model, multivariate cointegration | vector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon |
| Zinazohusiana≠ | 3 | 4 |
| Muhtasari≠ | The Johansen procedure is a multivariate cointegration framework, introduced by Søren Johansen in 1991, that tests for long-run equilibrium relationships among several I(1) time series. It determines how many cointegrating vectors link the series and then builds a Vector Error Correction Model (VECM) to describe the short-run dynamics around that equilibrium. | 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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