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Group-Average Observables as Controls for Sorting on Unobservables When Estimating Group Treatment Effects: The Case of School and Neighborhood Effects

dc.contributor.authorAltonji, Joseph G.
dc.contributor.authorMansfield, Richard K.
dc.date.accessioned2020-11-17T16:58:25Z
dc.date.available2020-11-17T16:58:25Z
dc.date.issued2014-12-16
dc.description.abstractWe consider the classic problem of estimating group treatment effects when individuals sort based on observed and unobserved characteristics. Using a standard choice model, we show that controlling for group averages of observed individual characteristics potentially absorbs all the across-group variation in unobservable individual characteristics. We use this insight to bound the treatment effect variance of school systems and associated neighborhoods for various outcomes. Across four datasets, our conservative estimates indicate that a 90th versus 10th percentile school system increases high school graduation and college enrollment probabilities by at least 0.047 and 0.11. Other applications include measurement of teacher value-added.
dc.description.legacydownloadsMansfield9_Group_average_observables_as_controls.pdf: 421 downloads, before Oct. 1, 2020.
dc.identifier.other6476349
dc.identifier.urihttps://hdl.handle.net/1813/74772
dc.language.isoen_US
dc.rightsRequired Publisher Statement: Copyright held by the authors.
dc.subjectobservables
dc.subjectunobservables
dc.subjecttreatment effects
dc.titleGroup-Average Observables as Controls for Sorting on Unobservables When Estimating Group Treatment Effects: The Case of School and Neighborhood Effects
dc.typearticle
local.authorAffiliationAltonji, Joseph G.: Yale University
local.authorAffiliationMansfield, Richard K.: rm743@cornell.edu Cornell University

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