Buch(elektronisch)2024

A practical introduction to regression discontinuity designs: extensions

In: Cambridge elements. Elements in quantitative and computational methods for social science

Cattaneo, Matias D.; Idrobo, Nicolas; Titiunik, Rocío

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Abstract

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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A practical introduction to regression discontinuity designs: foundations

In: Cambridge elements

In: Elements in quantitative and computational methods for the social sciences

In: Cambridge elements. Elements in quantitative and computational methods for the social sciences, 2398-4023

Cattaneo, Matias D.; Idrobo, Nicolás; Titiunik, Rocío

In this Element and its accompanying second Element, A Practical Introduction to Regression Discontinuity Designs: Extensions, Matias Cattaneo, Nicolás Idrobo, and Rocıìo Titiunik 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. In this Element, the authors discuss the foundations of the canonical Sharp RD design, which has the following features: (i) the score is continuously distributed and has only one dimension, (ii) there is only one cutoff, and (iii) compliance with the treatment assignment is perfect. In the second Element, the authors discuss practical and conceptual extensions to this basic RD setup.