Description
| Product ID: | 9781108710206 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Series: | Elements in Quantitative and Computational Methods for the Social Sciences |
| Title: | A Practical Introduction to Regression Discontinuity Designs |
| Subtitle: | Foundations |
| Authors: | Author: Matias D. Cattaneo, Rocio Titiunik, Nicolas Idrobo |
| Page Count: | 120 |
| Subjects: | Coding theory and cryptology, Coding theory & cryptology, Social research and statistics, Econometrics and economic statistics, Social research & statistics, Econometrics |
| Description: | Select Guide Rating An accessible and practical guide for the analysis and interpretation of regression discontinuity (RD) designs. The focus is on the canonical sharp RD setup that 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 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. |
| Imprint Name: | Cambridge University Press |
| Publisher Name: | Cambridge University Press |
| Country of Publication: | GB |
| Publishing Date: | 2020-02-13 |
