विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| फूरियर नियत प्रभाव मॉडल× | समय-भिन्न प्राचल स्थिर प्रभाव मॉडल× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 2006–2012 | 1975-1995 |
| प्रवर्तक≠ | Enders & Lee (building on Becker, Enders & Lee framework) | Hsiao (1975); Pesaran & Smith (1995) |
| प्रकार≠ | Panel regression with Fourier terms | Panel regression with time-varying slopes |
| 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 ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. ISBN: 9781107038875 |
| उपनाम | Fourier FE model, Fourier panel fixed effects, trigonometric fixed effects regression, smooth structural break fixed effects | TVP-FE model, time-varying coefficients fixed effects, TVP panel model, locally time-varying fixed effects |
| संबंधित≠ | 6 | 2 |
| सारांश≠ | The Fourier fixed effects model extends standard panel fixed effects regression by augmenting the specification with low-frequency Fourier (trigonometric) terms. These sine and cosine components approximate unknown, smooth structural shifts in the time trend without requiring the researcher to pre-specify break dates, combining within-unit identification with flexible trend modelling. | The time-varying parameter fixed effects (TVP-FE) model extends the classical two-way fixed effects panel regression by allowing one or more slope coefficients to change over time while still controlling for unobserved individual heterogeneity. It is used when the effect of a predictor on an outcome is not constant across the time dimension of a panel dataset. |
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