方法对比

	异质性处理效应回归断点设计（HTE-RDD）	分位数回归
领域	因果推断	计量经济学
方法族	Regression model	Regression model
起源年份	2015	1978
提出者	Dong & Lewbel (2015); Chiang, Hsu & Sasaki (2019)	Koenker & Bassett
类型	Quasi-experimental causal inference with effect heterogeneity	Conditional quantile regression
开创性文献	Dong, Y., & Lewbel, A. (2015). Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models. Review of Economics and Statistics, 97(5), 1081-1092.	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
别名	HTE-RDD, heterogeneous RDD, subgroup RDD, effect heterogeneity RD	conditional quantile regression, regression quantiles, Kantil Regresyon
相关	4	5
摘要	Heterogeneous Treatment Effect RDD extends the classic regression discontinuity framework to detect and estimate how the causal effect of crossing an assignment cutoff varies across subgroups or along covariates. Rather than reporting a single local average treatment effect at the threshold, HTE-RDD maps how treatment impact differs by individual characteristics, enabling richer policy conclusions about who benefits most or least from a threshold-based intervention.	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.