Regression Discontinuity with Multiple Running Variables Allowing Partial Effects
- Authors
- Choi, Jin-young; Lee, Myoung-jae
- Issue Date
- 7월-2018
- Publisher
- CAMBRIDGE UNIV PRESS
- Keywords
- regression discontinuity; multiple running variables; partial effect; difference in differences
- Citation
- POLITICAL ANALYSIS, v.26, no.3, pp.258 - 274
- Indexed
- SSCI
SCOPUS
- Journal Title
- POLITICAL ANALYSIS
- Volume
- 26
- Number
- 3
- Start Page
- 258
- End Page
- 274
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/74861
- DOI
- 10.1017/pan.2018.13
- ISSN
- 1047-1987
- Abstract
- In regression discontinuity (RD), a running variable (or "score") crossing a cutoff determines a treatment that affects the mean-regression function. This paper generalizes this usual "one-score mean RD" in 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 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 "local difference in differences" in case of double scores. We also provide an empirical illustration where partial effects exist.
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- Appears in
Collections - College of Political Science & Economics > Department of Economics > 1. Journal Articles
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