Difference between revisions of "Regression Discontinuity"
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A fuzzy RD design is a design where the cutoff point does not completely separate the controls and treatments. Some people who should be in the treatment might not be in treatment and some people who should be in the control group could be in the treatment group. | A fuzzy RD design is a design where the cutoff point does not completely separate the controls and treatments. Some people who should be in the treatment might not be in treatment and some people who should be in the control group could be in the treatment group. | ||
====Examples from DIME portfolio of fuzzy RD ==== | ====Examples from DIME portfolio of fuzzy RD ==== | ||
== Back to Parent == | == Back to Parent == | ||
Revision as of 19:24, 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(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.
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Types of RD
Sharp RD
Sharp regression discontinuity designs are designs where the cut off point perfect predicts whether the subject(individual, groups, etc) becomes treatment or control.
Examples from DIME portfolio of sharp RD
Fuzzy RD
A fuzzy RD design is a design where the cutoff point does not completely separate the controls and treatments. Some people who should be in the treatment might not be in treatment and some people who should be in the control group could be in the treatment group.
Examples from DIME portfolio of fuzzy RD
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This article is part of the topic Impact Evaluation Design
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