Discussion Paper Series

Peer vs. Network Effects: Microfoundations, Identification, and Beyond

Working Papers / Documents de travail

Randomization tests for model specification in causal inference under network interference

Analysis of experimental data becomes challenging when the underlying population is connected by a network. Exposure mapping is a common tool in the literature for defining and estimating spillover effects. These mappings reduce the dimensionality of the estimand, thereby facilitating identifiability. It is assumed tha...

Discussion Paper Series

Discussion Paper Series

Endogenous Selection and Spillovers: Bayesian Inference for Policy-Relevant Causal Effects

This paper develops a new econometric framework to identify and estimate policy-relevant causal effects in contexts with endogenous selection into treatment and spillovers within single large networks or spatial settings. Conventional causal inference methods relying on either unconfoundedness or no-interference assump...