Estimating local average treatment effects in aggregate data. Issue 11 (25th June 2017)

• Record Type: Journal Article
• Authors: Huntington-Klein, Nick
• Is Part Of: Applied economics letters. Volume 24:Issue 11(2017)
• Page Start: 762
• Page End: 765
• Publication Date: 2017-06-25
• Subjects: Treatment effects -- instrumental variables -- difference-in-difference -- internet data; C21 -- C26 -- C81 -- D04; Economics -- Periodicals; Economics, Mathematical -- Periodicals; 330
• DOI: 10.1080/13504851.2016.1226483
• Languages: English
• ISSNs: 1350-4851

Abstract

ABSTRACT: In some contexts, the effect of a treatment can be estimated with easily accessible aggregate rather than individual data, using difference-in-difference estimation. However, under imperfect assignment within groups, this produces intent-to-treat estimates, which may not be the treatment effect of interest. This article provides a method for estimating local average treatment effects using aggregate data. I also suggest a data source that allows the method to be applied when treatment rates are not recorded.