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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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Regression Discontinuity Designs

Matias D. Cattaneo, Juan Carlos Escanciano, USA) Cattaneo, Matias D. (University of Michigan, USA) Escanciano, Juan Carlos (University of Indiana, R. Carter Hill, Thomas B. Fomby, R. Carter Hill

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Survival Analysis

Alejandro Quiroz Flores, Alejandro (University of Essex) Quiroz Flores

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Twitter as Data

Zachary C. Steinert-Threlkeld, Los Angeles) Steinert-Threlkeld, Zachary C. (University of California, Zachary C. Steinert-Threkeld

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289 kr

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