Identification and estimation of spillover effects in randomized experiments
نویسندگان
چکیده
I study identification, estimation and inference for spillover effects in experiments where units’ outcomes may depend on the treatment assignments of other units within a group. show that commonly-used reduced-form linear-in-means regression identifies weighted sum with some negative weights, difference means between treated controls combination direct entering different signs. propose nonparametric estimators average overcome these issues are consistent asymptotically normal under precise relationship number parameters interest, total sample size assignment mechanism. These findings illustrated using data from conditional cash transfer program simulations. The empirical results reveal potential pitfalls failing to flexibly account policy evaluation: estimated coefficients all close zero statistically insignificant, whereas large, nonlinear significant effects.
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ژورنال
عنوان ژورنال: Journal of Econometrics
سال: 2022
ISSN: ['1872-6895', '0304-4076']
DOI: https://doi.org/10.1016/j.jeconom.2021.10.014