Interpreting Regression Discontinuity Designs with Multiple Cutoffs

By M. D. Cattaneo, R. Titiunik, Gonzalo Vázquez-Baré, Luke Keele. Journal of Politics, 2016

214 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6dfc0486b5debeef27837f7ca75a62fd88db8e24

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Citations in the corpus

Elite Colleges and Upward Mobility to Top Jobs and Top Incomes (2019, unknown): “The parameter of interest is Δ , which captures the effect of admission to an elite program for marginal applicants relative to their next-choice option, averaged across degree programs and, in equation (2), outcome years (Cattaneo et al. 2016).”
External Validity in Fuzzy Regression Discontinuity Designs (2019, unknown): “See, for example, Cattaneo et al. (2016) and Bertanha (2017).”
Regression Discontinuity Designs (2021, unknown): “A formalization of the Multiple-Cutoff RD design was given in Cattaneo et al. (2016), and a practical discussion can be found in Section 4 in Cattaneo, Idrobo and Titiunik (2024).”
Large-Scale Cross-Category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning (2019, methodology): “This implies that our setting can be categorized as the Multi-Cutoff Regression Discontinuity Design (Cattaneo et al. 2016).”
Regression discontinuity design with many thresholds (2017, unknown): “In a similar setting, Cattaneo et al. (2016) study identification under conditions equivalent to Assumptions 1 and 2 (respectively, their Assumptions 5a and 5b). The definition of μ captures both the direct effect of changing D, and the composition effect of a change in the distribution of D conditi”
Breaking Ties: Regression Discontinuity Design Meets Market Design (2019, methodology): “We also explored bandwidths designed to produce balance as in Cattaneo et al. (2016b).”