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Estimating local average treatment effects in aggregate data

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  • Nick Huntington-Klein

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.

Suggested Citation

  • Nick Huntington-Klein, 2017. "Estimating local average treatment effects in aggregate data," Applied Economics Letters, Taylor & Francis Journals, vol. 24(11), pages 762-765, June.
    • Handle: RePEc:taf:apeclt:v:24:y:2017:i:11:p:762-765
    DOI: 10.1080/13504851.2016.1226483
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    References listed on IDEAS

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    1. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
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