Replication Data for: Regression Discontinuity with Multiple Running Variables Allowing Partial Effects

In regression discontinuity (RD), a running variable (or “score”) crossing a cutoff de- termines a treatment that affects the mean regression function. This paper generalizes this usual ‘one-score mean RD ’three ways: (i) considering multiple scores, (ii) allowing ‘partial effects ’due to each score crossing its own cutoff, not just the full effect with all scores crossing all cutoffs, and (iii) accommodating quantile/mode regressions. This generalization is motivated by (i) many multiple-score RD cases, (ii) the full effect identi cation needing the partial effects to be separated, and (iii) informative quantile/mode regression functions. We establish identi cation for ‘multiple-score RD (MRD)’, and propose simple estimators that become ‘local difference in differences (DD) ’in case of double scores. We also provide an empirical illustration where partial effects exist