A Practical Introduction to Regression Discontinuity Designs: Extensions

Author:   Matias D. Cattaneo (Princeton University) ,  Nicolas Idrobo (University of Pennsylvania) ,  Rocío Titiunik (Princeton University)
Publisher:   Cambridge University Press
ISBN:  

9781009441902


Pages:   122
Publication Date:   11 April 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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A Practical Introduction to Regression Discontinuity Designs: Extensions


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Overview

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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Author:   Matias D. Cattaneo (Princeton University) ,  Nicolas Idrobo (University of Pennsylvania) ,  Rocío Titiunik (Princeton University)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
ISBN:  

9781009441902


ISBN 10:   1009441906
Pages:   122
Publication Date:   11 April 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction; 2. The local randomization approach to RD analysis; 3. The fuzzy rd design; 4. RD designs with discrete running variables; 5. Multi-Dimensional RD designs; 6. Final remarks; Bibliography.

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