14 citations · 15 across the 6 of their papers we have counts for
8 papers
Post-Selection Inference for Network Structure
Eric Auerbach, Jonathan Auerbach, Sidonia McKenzie
Researchers often use the density of connections between groups of agents, such as communities, blocs, or markets, to characterize the structure of a social or economic network. In…
Identifying Socially Disruptive Policies
Eric Auerbach, Yong Cai
Social disruption occurs when a policy creates or destroys many network connections between agents. It is a costly side effect of many interventions and so a growing empirical lite…
Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices
Eric Auerbach, Yong Cai
We are interested in the distribution of treatment effects for an experiment where units are randomized to a treatment but outcomes are measured for pairs of units. For example, we…
Identification and Estimation of a Partially Linear Regression Model using Network Data: Inference and an Application to Network Peer Effects
Eric Auerbach
This paper provides additional results relevant to the setting, model, and estimators of Auerbach (2019a). Section 1 contains results about the large sample properties of the estim…
The Local Approach to Causal Inference under Network Interference
Eric Auerbach, Hongchang Guo, Max Tabord-Meehan
We propose a new nonparametric modeling framework for causal inference when outcomes depend on how agents are linked in a social or economic network. Such network interference desc…
Recovering Network Structure from Aggregated Relational Data using Penalized Regression
Hossein Alidaee, Eric Auerbach, Michael P. Leung
Social network data can be expensive to collect. Breza et al. (2017) propose aggregated relational data (ARD) as a low-cost substitute that can be used to recover the structure of…
Testing for Differences in Stochastic Network Structure
Eric Auerbach
How can one determine whether a community-level treatment, such as the introduction of a social program or trade shock, alters agents' incentives to form links in a network? This p…
Identification and Estimation of a Partially Linear Regression Model using Network Data
Eric Auerbach
I study a regression model in which one covariate is an unknown function of a latent driver of link formation in a network. Rather than specify and fit a parametric network formati…