Treatment and Spillover Effects Under Network Interference
The Review of Economics and Statistics
2020
We study nonparametric and regression estimators of treatment and spillover effects when interference is mediated by a network. Inference is nonstandard due to dependence induced by treatment spillovers and network-correlated effects. We derive restrictions on the network degree distribution under which the estimators are consistent and asymptotically normal and show they can be verified under a strategic model of network formation. We also construct consistent variance estimators robust to heteroskedasticity and network dependence. Our results allow for the estimation of spillover effects using data from only a single, possibly sampled, network.
- DOI
- 10.1162/rest_a_00818
- Volume
- 102 (2)
- Pages
- 368-380
- Language
- en
- Export
- BibTeX
- Sources
- openalex crossref