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Regression discontinuity

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Frame of Image  World Bank.
Introduction
o Many times random assignment is not possible
o Universal take-up o Non-excludable intervention o Treatment already assigned
o When randomization is not feasible, how can we exploit implementation features of the program to measure its impact? o Answer : Quasi-experiments
o Example: Regression Discontinuity Design.
Regression Discontinuity Design (RDD)
o RDD closer to randomized experiments than other quasiexperimental methods
o Relies on knowledge of the selection process
o Need to know quantifiable selection criteria – a continuous “score” or index o Assignment to “treatment” depends discontinuously on this “score” at a threshold or cutoff
o Intuition
o The potential beneficiaries (units) just above the cut-off point are very similar to the potential beneficiaries just below the cut-off. o Within narrow bandwidth around cut-off, treatment assignment approximates randomization o Comparing final outcomes of those just above cutoff to those just below can approximate treatment effect
Indexes are common in targeting of social programs
Anti-poverty programs Pension programs Scholarships
“Community Driven Development” programs
targeted to households below a given poverty index. targeted to population above a certain age.
targeted to students with highest scores on standardized test—or with lowest score of poverty index.
awarded to NGOs that achieve highest scores.
An example
o US minimum legal age for drinking alcohol is 21
 illegal for people younger


Full Text
Title Regression discontinuity
Similar Titles
Material Type Proceedings
Author(English)

Beath, Andrew; Trias, Julieta

Publisher

[Washington, DC]:The World Bank

Date 2012
Event

The Regional Impact Evaluation Workshop

Series Title; No Technical Track Session
Pages 25
Language English
File Type Documents
Original Format pdf
Subject Official Aid < Others
Holding KDI; KDI School

User Note

These slides constitute supporting material to the Impact Evaluation in Practice Handbook : Gertler, P. J.; Martinez, S., Premand, P., Rawlings, L. B. and Christel M. J. Vermeersch, 2010, Impact Evaluation in Practice: Ancillary Material, The World Bank, Washington DC (www.worldbank.org/ieinpractice). The content of this presentation reflects the views of the authors and not necessarily those of the World Bank.

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