Difference between revisions of "Regression Discontinuity"
Mrijanrimal (talk | contribs) |
Mrijanrimal (talk | contribs) |
||
| Line 1: | Line 1: | ||
Regression Discontinuity is a quasi-experimental impact evaluation design which attempts to find the causal effects of interventions by assigning a threshold above and below which the treatment is assigned. | Regression Discontinuity is a quasi-experimental impact evaluation design which attempts to find the causal effects of interventions by assigning a threshold above and below which the treatment is assigned. Observations closely on either side of the threshold are compared to estimate the average treatment effect. | ||
== Read First == | == Read First == | ||
* | * | ||
Revision as of 15:12, 2 February 2017
Regression Discontinuity is a quasi-experimental impact evaluation design which attempts to find the causal effects of interventions by assigning a threshold above and below which the treatment is assigned. Observations closely on either side of the threshold are compared to estimate the average treatment effect.
Read First
Guidelines
- organize information on the topic into subsections. for each subsection, include a brief description / overview, with links to articles that provide details
Subsection 1
Subsection 2
Subsection 3
Back to Parent
This article is part of the topic *topic name, as listed on main page*
Additional Resources
- list here other articles related to this topic, with a brief description and link