Сравнение методов

	Регрессия «квантиль по квантилю» (QQ-регрессия)	Квантильная регрессия
Область	Эконометрика	Эконометрика
Семейство	Regression model	Regression model
Год появления	2015	1978
Автор метода	Sim and Zhou	Koenker & Bassett
Тип	Nonparametric quantile regression	Conditional quantile regression
Основополагающий источник	Sim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking and Finance, 55, 1-8.	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
Другие названия	QQ regression, QQ approach, quantile-on-quantile approach, nonparametric quantile regression	conditional quantile regression, regression quantiles, Kantil Regresyon
Связанные	6	5
Сводка	Quantile-on-quantile regression is a nonparametric technique that estimates how the quantiles of one variable depend on the quantiles of another. By combining standard quantile regression with local linear smoothing, it produces a full two-dimensional surface of slope coefficients indexed by both the quantile of the outcome and the quantile of the predictor, revealing heterogeneous and asymmetric dependency structures invisible to standard regression.	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.