विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| फूरियर रैंडम इफेक्ट्स मॉडल× | समय-परिवर्ती पैरामीटर यादृच्छिक प्रभाव मॉडल× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 2006-2012 | 1970–1975 |
| प्रवर्तक≠ | Becker, Enders & Lee; Enders & Lee | Swamy (1970); Hsiao (1975) |
| प्रकार≠ | Panel regression with Fourier approximation | Panel regression with time-varying random coefficients |
| मौलिक स्रोत≠ | Becker, R., Enders, W., & Lee, J. (2006). A stationary test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381-409. DOI ↗ | Swamy, P. A. V. B. (1970). Efficient inference in a random coefficient regression model. Econometrica, 38(2), 311–323. DOI ↗ |
| उपनाम | Fourier RE model, FFF random effects, flexible Fourier random effects, Fourier augmented random effects | TVP-RE model, random coefficient random effects model, time-varying random effects, TVP panel random effects |
| संबंधित | 5 | 5 |
| सारांश≠ | The Fourier Random Effects Model extends the standard random effects panel estimator by incorporating trigonometric (Fourier) terms to approximate smooth, gradual structural change in time trends or intercepts. It retains the GLS efficiency advantages of the random effects estimator while allowing parameters to shift continuously over time without requiring knowledge of exact break dates. | The time-varying parameter random effects model extends the classic random effects panel framework by allowing regression coefficients to change over time and across units. Rather than imposing a single fixed slope for all individuals and periods, each coefficient is treated as a random draw that evolves, capturing genuine parameter instability while preserving the random effects assumption that unit-specific components are uncorrelated with the regressors. |
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