Estimating local average treatment effects in aggregate data

Nick Huntington-Klein

Applied Economics Letters, 2017, vol. 24, issue 11, 762-765

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.

Date: 2017
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DOI: 10.1080/13504851.2016.1226483

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