Replication Data for: Regression Discontinuity with Multiple Running Variables Allowing Partial Effects
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https://doi.org/10.7910/DVN/9YCVJC
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资源简介:
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.
创建时间:
2018-03-12



