Regression Discontinuity with Multiple Running Variables Allowing Partial Effects
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Jin-young | - |
dc.contributor.author | Lee, Myoung-jae | - |
dc.date.accessioned | 2021-09-02T09:54:29Z | - |
dc.date.available | 2021-09-02T09:54:29Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2018-07 | - |
dc.identifier.issn | 1047-1987 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/74861 | - |
dc.description.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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | CAMBRIDGE UNIV PRESS | - |
dc.subject | STUDENT-ACHIEVEMENT | - |
dc.subject | HEAD-START | - |
dc.subject | DESIGNS | - |
dc.subject | INFERENCE | - |
dc.subject | SCHOOL | - |
dc.subject | RACES | - |
dc.subject | MODE | - |
dc.title | Regression Discontinuity with Multiple Running Variables Allowing Partial Effects | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Myoung-jae | - |
dc.identifier.doi | 10.1017/pan.2018.13 | - |
dc.identifier.scopusid | 2-s2.0-85033583028 | - |
dc.identifier.wosid | 000440332300002 | - |
dc.identifier.bibliographicCitation | POLITICAL ANALYSIS, v.26, no.3, pp.258 - 274 | - |
dc.relation.isPartOf | POLITICAL ANALYSIS | - |
dc.citation.title | POLITICAL ANALYSIS | - |
dc.citation.volume | 26 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 258 | - |
dc.citation.endPage | 274 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Government & Law | - |
dc.relation.journalWebOfScienceCategory | Political Science | - |
dc.subject.keywordPlus | STUDENT-ACHIEVEMENT | - |
dc.subject.keywordPlus | HEAD-START | - |
dc.subject.keywordPlus | DESIGNS | - |
dc.subject.keywordPlus | INFERENCE | - |
dc.subject.keywordPlus | SCHOOL | - |
dc.subject.keywordPlus | RACES | - |
dc.subject.keywordPlus | MODE | - |
dc.subject.keywordAuthor | regression discontinuity | - |
dc.subject.keywordAuthor | multiple running variables | - |
dc.subject.keywordAuthor | partial effect | - |
dc.subject.keywordAuthor | difference in differences | - |
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