Corpus ID: 225067833

Design-Based Inference for Spatial Experiments with Interference

@article{Aronow2020DesignBasedIF,
  title={Design-Based Inference for Spatial Experiments with Interference},
  author={Peter M. Aronow and Cyrus Samii and Ye Wang},
  journal={arXiv: Methodology},
  year={2020}
}
We consider design-based causal inference in settings where randomized treatments have effects that bleed out into space in complex ways that overlap and in violation of the standard "no interference" assumption for many causal inference methods. We define a spatial "average marginalized response," which characterizes how, in expectation, units of observation that are a specified distance from an intervention point are affected by treatments at that point, averaging over effects emanating from… Expand

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