The key feature of RDD is that there is a continuous variable Xi that determines who gets treatment, denoted by Di (1 if treated). By convention.

Variable X, called running variable or assignment variable, determines treatment · Units with X≥c get treatment D=1 · Units with X<c don't D=0. D=1{X≥c}.

An increasingly popular application of the RD design uses time as the running variable, with a treatment date as the threshold. Examples of this “regression ...

This paper describes identification problems encountered in the regression discontinuity design pertaining to manipulation of the running variable and describes ...

In the sharp RD design this variable fully determines the treatment according to the cutoff rule: Di = ( 1 if Xi. X0. 0 if Xi < X0 . Xi is called the running ...

A regression discontinuity occurs when there is a discrete change (jump) in treatment likelihood in the distribution of a continuous (or roughly continuous) ...

In the regression discon- tinuity context, this is analogous to expecting the running variable to be discontinuous at the cutoff, with surprisingly many ...

We consider inference in regression discontinuity designs when the running variable only takes a moderate number of distinct values.

Abstract. We consider inference in regression discontinuity designs when the running variable only takes a moderate number of distinct values.

These designs rely on treatment assignment being based on a “running variable” passing a particular cutoff, which is observed by the researcher. In practice, ...