Extending the regression-discontinuity approach to multiple assignment variables

By J. Papay, J. Willett, Richard J. Murnane. 2011

151 citations recorded by the source corpus.

Subfields: Education, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/690f863f7e4c3a120466e96ed29d41e7120ec0c0

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Citations in the corpus

Interpreting Regression Discontinuity Designs with Multiple Cutoffs (2016, methodology): “Under the assumption that all possible confounders vary smoothly at the cutoff as a function of the score (also known as “running variable”), a comparison of units barely above and barely below the cutoff can be used to recover the causal effect of the treatment—for a review see Skovron and Titiunik”
Weak Identification in Fuzzy Regression Discontinuity Designs (2016, unknown): “…McCrary (2008); Frölich (2007); Frölich and Melly (2008); Otsu, Xu, and Matsushita (2015); Imbens and Kalyanaraman (2012); Calonico, Cattaneo, and Titiunik (2014); Arai and Ichimura (2013); Papay, Willett, and Murnane (2011); Imbens and Zajonc (2011); Dong and Lewbel (2010); and Fe (2012).”
Econometric Methods for Program Evaluation (2018, background): “Multi-Score and Geographic RD designs are settings where the treatment assignment rule depends on more than one score variable (see Papay et al., 2011; Keele and Titiunik, 2015).”
Fairness and Frictions: The Impact of Unequal Raises on Quit Behavior (2018, unknown): “Methodologically, our paper adds to the growing literature on aggregating across multiple discontinuities (e.g., Papay et al., 2011; Reardon and Robinson, 2012).”
Geographic Boundaries as Regression Discontinuities (2015, background): “Papay et al. (2011) were among the first to consider the generalization of the RD design to multiple forcing variables. However, this study does not discuss formal identification results, and considers cases where multiple scores assign individuals to a range of different treatment conditions, as op”
Shifting College Majors in Response to Advanced Placement Exam Scores (2017, unknown): “With no data limitations, the preferred analytic strategy would be to follow Papay, Willett, and Murnane (2011) and test the simultaneous effects of crossing one or two thresholds.”
Regression Discontinuity Designs (2021, unknown): “In the Multi-Score RD design, the score that determines treatment assignment has two or more components, a generalization that was developed by Papay, Willett and Murnane (2011) and Reardon and Robinson (2012), among others.”
Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs (2018, background): “…https://academ ic.oup.com /ectj/article-abstract/23/2/192/5625071 by guest on 05 June 2020 score, and multi-cutoff RD designs (Hahn et al., 2001; Papay et al., 2011; Keele and Titiunik, 2015; Cattaneo et al., 2016), as well as to clustered data and/or inclusion of pre-intervention covariates…”
Regression Discontinuity Designs With Multiple Rating-Score Variables (2012, background): “The analyses by Reardon et al. (2010) provide a useful example of several of these different estimands.”