# Generalized propensity score approach to causal inference with spatial interference

@article{Giffin2020GeneralizedPS, title={Generalized propensity score approach to causal inference with spatial interference}, author={Andrew Giffin and Brian J. Reich and Shu Yang and Ana G. Rappold}, journal={arXiv: Methodology}, year={2020} }

Many spatial phenomena exhibit treatment interference where treatments at one location may affect the response at other locations. Because interference violates the stable unit treatment value assumption, standard methods for causal inference do not apply. We propose a new causal framework to recover direct and spill-over effects in the presence of spatial interference, taking into account that treatments at nearby locations are more influential than treatments at locations further apart. Under… Expand

#### 6 Citations

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Motivated by environmental health research on air pollution, we address the challenge of estimation and uncertainty quantification of causal exposure-response function (CERF). The CERF describes the… Expand

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