A Practical Introduction to Regression Discontinuity Designs : Foundations Paperback / softback
by Matias D. (Princeton University, New Jersey) Cattaneo, Nicolas (University of Pennsylvania) Idrobo, Rocio (Princeton University, New Jersey) Titiunik
Part of the Elements in Quantitative and Computational Methods for the Social Sciences series
In this Element and its accompanying second Element, A Practical Introduction to Regression Discontinuity Designs: Extensions, Matias Cattaneo, Nicolas Idrobo, and Rociio 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.
- Format: Paperback / softback
- Pages: 120 pages, Worked examples or Exercises; 7 Tables, black and white; 21 Plates, color; 1 Halftones, b
- Publisher: Cambridge University Press
- Publication Date: 13/02/2020
- Category: Coding theory & cryptology
- ISBN: 9781108710206