Practical Introduction to Regression Discontinuity Designs - Extensions

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.

List 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.

Summary

This Element discusses 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.

Foreword

An introduction to modern quantitative methods for analysis and interpretation of Regression Discontinuity designs.

Product details

• Authors: Matias D. Cattaneo, Matias D. (Princeton University) Idrobo Cattaneo, Nicolas Idrobo, Rocío Titiunik
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 31.03.2024
• EAN: 9781009462327
• ISBN: 978-1-0-0946232-7
• No. of pages: 122
• Series: Elements in Quantitative and Computational Methods for the Social Sciences
• Subjects: Natural sciences, medicine, IT, technology > Natural sciences (general); Social sciences, law, business > Political science > Political science and political education; POLITICAL SCIENCE / History & Theory, Economic statistics, Social research & statistics, Probability & statistics, Econometrics, Probability and statistics, Social research and statistics, Research methods: general, Econometrics and economic statistics, Data capture and analysis, Data Capture & Analysis