{"data":{"id":"10.6084/m9.figshare.1378921","type":"dois","attributes":{"doi":"10.6084/m9.figshare.1378921","prefix":"10.6084","suffix":"m9.figshare.1378921","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Angrist, Joshua D.","nameType":"Personal","givenName":"Joshua D.","familyName":"Angrist","affiliation":[],"nameIdentifiers":[]},{"name":"Rokkanen, Miikka","nameType":"Personal","givenName":"Miikka","familyName":"Rokkanen","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff"}],"publisher":"Taylor \u0026 Francis","container":{},"publicationYear":2015,"subjects":[{"subject":"Medicine"},{"subject":"Biotechnology"},{"subject":"59999 Environmental Sciences not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Earth and related environmental sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Earth and related environmental sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Sociology"},{"subject":"FOS: Sociology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Sociology","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"69999 Biological Sciences not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Biological sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"19999 Mathematical Sciences not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Mathematics","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Mathematics","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Science Policy"},{"subject":"110309 Infectious Diseases","subjectScheme":"FOR"},{"subject":"FOS: Health sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Health sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"60506 Virology","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2015-04-14","dateType":"Created"},{"date":"2018-08-31","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1080/01621459.2015.1012259","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["653179 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"In regression discontinuity (RD) studies exploiting an award or admissions cutoff, causal effects are nonparametrically identified for those near the cutoff. The effect of treatment on inframarginal applicants is also of interest, but identification of such effects requires stronger assumptions than those required for identification at the cutoff. This article discusses RD identification and estimation away from the cutoff. Our identification strategy exploits the availability of dependent variable predictors other than the running variable. Conditional on these predictors, the running variable is assumed to be ignorable. This identification strategy is used to study effects of Boston exam schools for inframarginal applicants. Identification based on the conditional independence assumptions imposed in our framework yields reasonably precise and surprisingly robust estimates of the effects of exam school attendance on inframarginal applicants. These estimates suggest that the causal effects of exam school attendance for 9th grade applicants with running variable values well away from admissions cutoffs differ little from those for applicants with values that put them on the margin of acceptance. An extension to fuzzy designs is shown to identify causal effects for compliers away from the cutoff. Supplementary materials for this article are available online.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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