Identifying causal effects in experiments with spillovers and non-compliance
نویسندگان
چکیده
This paper shows how to use a randomized saturation experimental design identify and estimate causal effects in the presence of spillovers–one person’s treatment may affect another’s outcome–and one-sided non-compliance—subjects can only be offered treatment, not compelled take it up. Two distinct are interest this setting: direct quantify own changes her outcome, while indirect peers’ treatments change outcome. We consider case which spillovers occur within known groups, take-up decisions invariant realized offers. In setting we point treatment-on-the-treated, both indirect, flexible random coefficients model that allows for heterogeneous endogenous selection into treatment. go on propose feasible estimator is consistent asymptotically normal as number size groups increases. apply our data from large-scale job placement services experiment, find negative likelihood employment those willing up program. These offset by positive take-up.
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ژورنال
عنوان ژورنال: Journal of Econometrics
سال: 2023
ISSN: ['1872-6895', '0304-4076']
DOI: https://doi.org/10.1016/j.jeconom.2023.01.008