Regression Discontinuity with Multiple Running Variables Allowing Partial Effects
Jin-Young Choi () and
Political Analysis, 2018, vol. 26, issue 3, 258-274
In regression discontinuity (RD), a running variable (or â€œscoreâ€ ) crossing a cutoff determines a treatment that affects the mean-regression function. This paper generalizes this usual â€œone-score mean RDâ€ in three ways:Â (i) considering multiple scores, (ii) allowing partial effectsÂ 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 identification needing the partial effects to be separated, and (iii) informative quantile/mode regression functions. We establish identification for multiple-score RD (MRD), and propose simple estimators that become â€œlocal difference in differencesâ€ in case of double scores. We also provide an empirical illustration where partial effects exist.
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Persistent link: https://EconPapers.repec.org/RePEc:cup:polals:v:26:y:2018:i:03:p:258-274_00
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