Regression Discontinuity
Revision as of 19:40, 2 February 2017 by Mrijanrimal (talk | contribs)
Regression Discontinuity design is a quasi-experimental impact evaluation design which attempts to find the causal effects of interventions by assigning a threshold(cut off point) above and below which the treatment is assigned. Observations closely on either side of the threshold are compared to estimate the average treatment effect. Regression Discontinuity is done in situations when actual random assignment of control and treatment might not be feasible due to various reasons.
Back to Parent
This article is part of the topic Impact Evaluation Design
Additional Resources
- An introduction and user guide to Regression discontinuity. Lee, David S., and Thomas Lemieuxa. "Regression discontinuity designs in economics." Journal of economic literature 48, no. 2 (2010): 281-355.