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Elements in Quantitative and Computational Methods for the Social Sciences

This series offers concise, hands-on introductions to cutting-edge methodologies within the social sciences. It focuses on innovative techniques that may not yet have extensive textbook treatments, providing readers with access to the latest advancements. The collection is ideal for researchers and graduate students eager to enhance their methodological toolkit and stay current with rapid developments. Each volume emphasizes practical application and serves as a valuable resource for both learning new tools and supplementing existing coursework.

A Practical Introduction to Regression Discontinuity Designs
  • 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.

    A Practical Introduction to Regression Discontinuity Designs
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