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A Practical Introduction to Regression Discontinuity Designs

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Published online by Cambridge University Press:  25 March 2024

Matias D. Cattaneo
Affiliation:
Princeton University
Nicolas Idrobo
Affiliation:
University of Pennsylvania
Rocío Titiunik
Affiliation:
Princeton University

Summary

In this Element, which continues our discussion in Foundations, the authors provide an accessible and practical guide for the analysis and interpretation of Regression Discontinuity (RD) designs that encourages the use of a common set of practices and facilitates the accumulation of RD-based empirical evidence. The focus is on extensions to the canonical sharp RD setup that we discussed in Foundations. The discussion covers (i) the local randomization framework for RD analysis, (ii) the fuzzy RD design where compliance with treatment is imperfect, (iii) RD designs with discrete scores, and (iv) and multi-dimensional RD designs.
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