विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| फूरियर क्वांटाइल-ऑन-क्वांटाइल रिग्रेशन× | क्वांटाइल रिग्रेशन× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 2015-2020s | 1978 |
| प्रवर्तक≠ | Extension combining Sim & Zhou (2015) QQ regression with Fourier flexible-form smoothing | Koenker & Bassett |
| प्रकार≠ | Nonparametric quantile regression with Fourier smoothing | Conditional quantile regression |
| मौलिक स्रोत≠ | Sim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking and Finance, 55, 1-8. DOI ↗ | Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗ |
| उपनाम≠ | Fourier QQ regression, Fourier-QQR, Fourier quantile regression with quantile regressors, smooth structural-break QQ regression | conditional quantile regression, regression quantiles, Kantil Regresyon |
| संबंधित≠ | 6 | 5 |
| सारांश≠ | Fourier quantile-on-quantile regression extends the quantile-on-quantile (QQ) framework of Sim and Zhou (2015) by embedding Fourier trigonometric terms into the local linear quantile model. This allows the estimated dependence between the quantiles of one variable and the quantiles of another to vary smoothly over time, capturing gradual structural change without imposing a known break date. | Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails. |
| ScholarGateडेटासेट ↗ |
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