Quasi-randomization tests for network interference: a random graph approach (opens in new tab)

arXiv:2403.16673v4 Announce Type: replace-cross Abstract: Network interference occurs when the treatment status of one unit affects the potential outcomes of other units, giving rise to spillover effects that are difficult to test for. We propose treating the network as a random variable rather than a fixed quantity to address this challenge. This overcomes a key challenge of non-imputability of potential outcomes under the null and avoids the computational intractability of existing conditio...