विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| पैनल ज़िवोट-एंड्रयूज स्ट्रक्चरल ब्रेक यूनिट रूट टेस्ट× | पैनल एंगल-ग्रेंजर कोइंटीग्रेशन परीक्षण× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1992 (panel extension: 2000s) | 1999 |
| प्रवर्तक≠ | Zivot & Andrews (1992); extended to panel settings by subsequent literature | Pedroni (1999), extending Engle & Granger (1987) |
| प्रकार≠ | Unit root test with endogenous structural break | Cointegration test |
| मौलिक स्रोत≠ | Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270. DOI ↗ | Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61(S1), 653-670. DOI ↗ |
| उपनाम | panel ZA test, panel structural break unit root test, Zivot-Andrews panel unit root test, panel endogenous break unit root test | panel cointegration test, panel EG cointegration, Pedroni cointegration test, residual-based panel cointegration |
| संबंधित≠ | 6 | 5 |
| सारांश≠ | The Panel Zivot-Andrews test extends the single-series Zivot-Andrews (1992) structural break unit root test to panel data, allowing each cross-sectional unit to have its own endogenously determined break date. It tests the null of a unit root against the alternative of stationarity with a one-time structural break, accounting for regime shifts that bias standard panel unit root tests toward false non-rejection. | The Panel Engle-Granger cointegration test extends the classic two-step Engle-Granger procedure to panel data, allowing researchers to detect long-run equilibrium relationships among integrated variables across multiple cross-sectional units simultaneously. Pedroni (1999) developed panel statistics that pool information across units while allowing heterogeneous short-run dynamics and individual-specific intercepts and trends. |
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