विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| समय-परिवर्ती पैरामीटर पैनल डेटा विश्लेषण× | फ़ामा-मैकबेथ रिग्रेशन× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1960–2003 | 1973 |
| प्रवर्तक≠ | Cheng Hsiao (panel treatment); Kalman (state-space foundation) | Eugene Fama and James MacBeth |
| प्रकार≠ | Dynamic panel model | Cross-sectional regression |
| मौलिक स्रोत≠ | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 | Fama, E. F., & MacBeth, J. D. (1973). Risk, return, and equilibrium: Empirical tests. Journal of Political Economy, 81(3), 607-636. DOI ↗ |
| उपनाम≠ | TVP panel model, time-varying coefficient panel model, state-space panel regression, random coefficient panel model | Two-step cross-sectional regression |
| संबंधित≠ | 5 | 3 |
| सारांश≠ | Time-varying parameter (TVP) panel data analysis extends standard panel regression by allowing the slope coefficients to evolve over time for each unit. Instead of assuming a single fixed or random coefficient, the model lets each unit's relationship between predictors and outcome shift period by period, capturing structural change, learning effects, and heterogeneous dynamics across individuals and time. | The Fama-MacBeth procedure is a two-step regression methodology for analyzing cross-sectional relationships while controlling for time-series structure. Introduced by Fama and MacBeth (1973), it first estimates time-series parameters for each cross-sectional unit, then regresses outcomes on those parameters across the cross-section, averaging results over time. This approach elegantly separates within-unit dynamics from cross-sectional heterogeneity and provides standard errors robust to panel structure. |
| ScholarGateडेटासेट ↗ |
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