Difference between revisions of "Regression Discontinuity"

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===Sharp 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 ====
==== Examples from DIME portfolio of sharp RD ====
===Fuzzy RD===
===Fuzzy RD===
====Examples from DIME portfolio of fuzzy RD ====
====Examples from DIME portfolio of fuzzy RD ====

Revision as of 18:43, 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.

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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

Examples from DIME portfolio of fuzzy RD

Choosing the right bin width

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This article is part of the topic Impact Evaluation Design

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