Date(s) - 01/28/2021 - 01/30/2021
10:00 am - 5:00 pm
This seminar focuses on methods for the analysis and interpretation of Regression Discontinuity (RD) designs. It will cover both introductory concepts and recent methodological developments.
The RD design is a non-experimental method that has high internal validity for estimating treatment effects. The design can be used when individuals are assigned to some treatment based entirely on a score—in education, this score is usually referred to as a “pretest score”. This could be any quantitative measure, such as an exam grade, income, age, or cholesterol level. All individuals whose score exceeds a predetermined cutoff are offered the treatment, while all individuals below the cutoff are not offered the treatment. For example, if a scholarship is given only to students who score 90 or more points in an exam, the effect of the scholarship could be analyzed with a RD design.
After treatment, an outcome is measured for all individuals–the “posttest score”–which could either be the same variable as the pretest score or a different measure. The analysis focuses on detecting possible discontinuities in the observed relationship between the pretest score and the outcome of interest at the cutoff, under appropriate continuity or local randomization assumptions.
The event runs from Thursday, January 28, 2021 – Saturday, January 30, 2021.
Each day will follow this schedule:
10:00am-2:00pm ET: Live lecture via Zoom
4:00pm-5:00pm ET: Live “office hour” via Zoom (Thursday and Friday only)
The fee of $895 includes all course materials. PayPal and all major credit cards are accepted.
The event details can be found here.