Regression Discontinuity Design, RDD History of RDD 创始人:Donald Campbell First study: Thistlethwaite and Campbell (1960) Merit awards were given to students whose test scores were over some cutoff point. They compared award winners to non-winners just around the threshold to identify the causal...
Regression Discontinuity Designregression discontinuitynatural experimentstreatment effectsselection biasIn some research situations, the realization of a randomized experiment is practically impossible or ethically not justifiable. For example, in educational research, a reading training program should be given ...
断点回归设计（Regression Discontinuity Design，RDD）是一种准实验设计方法，常用于因果推断研究中。它基于一个关键的假设：在某个临界点（断点）附近，个体或单位的某些特征会突然改变，而这种改变是随机的或几乎随机的。通过比较断点两侧的结果变量，研究者可以估计出断点处的干预效果。一、基本原理 1. 断点：确定一...
Regression Discontinuity Design - University of Chicago
The Regression-Discontinuity design is seen as a useful method for determining whether a program or treatment is effective.
RD方法(regressiondiscontinuitydesign).docx但我们再看线上的学生和线下1分的学生时显著的工资差异出现了乖乖差1000线上0分的学生和线下1分的学生各种特征都应该是差不多的即便有差别在连续性假设下也应该是很小很小的差别那么产生这样显著的工资差异只能由前者上了一本而后者没上一本来解释了因为这是两者间唯一的...
One form of such natural experiments that is increasingly used in social science research is regression discontinuity (RD). RD designs are possible when there are thresholds that cause large changes in the assignment of treatments on the basis of small differences in a variable. For example, a ...
In epidemiology, the regression discontinuity design has received increasing attention recently and might be an alternative to randomized controlled trials (RCTs) to evaluate treatment effects. In regression discontinuity, treatment is assigned above a certain threshold of an assignment variable for which ...
首先要说的是这篇文章使用的RD方法(regression discontinuity design),即断点回归方法。断点回归方法是最近的政策评估中非常重要的一个方法,他可以在没有随机性的情况下识别出政策的效果。 在早期的研究中,要识别一个处理(Treatment)的效果,我们必须拥有随机性,比如两组随机分开的小白鼠,一组加上某种处理,一组没有处...
This paper provides an introduction and "user guide" to Regression Discontinuity (RD) designs for empirical researchers. It presents the basic theory behind the research design, details when RD is likely to be valid or invalid given economic incentives, explains why it is considered a "quasi-expe...