no code implementations • 11 Jan 2024 • Eric Auerbach, Jonathan Auerbach, Max Tabord-Meehan
We thank Savje (2023) for a thought-provoking article and appreciate the opportunity to share our perspective as social scientists.
1 code implementation • 26 Jun 2023 • Eric Auerbach, Yong Cai
Social disruption occurs when a policy creates or destroys many network connections between agents.
1 code implementation • 2 May 2022 • Eric Auerbach, Yong Cai
We then propose a new matrix analog of quantile treatment effects that is given by a difference in the eigenvalues.
no code implementations • 20 May 2021 • Eric Auerbach
This paper provides additional results relevant to the setting, model, and estimators of Auerbach (2019a).
no code implementations • 9 May 2021 • Eric Auerbach, 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.
1 code implementation • 16 Jan 2020 • Hossein Alidaee, Eric Auerbach, Michael P. Leung
Breza et al. (2017) propose aggregated relational data (ARD) as a low-cost substitute that can be used to recover the structure of a latent social network when it is generated by a specific parametric random effects model.
no code implementations • 22 Mar 2019 • Eric Auerbach
In this paper, I describe the model, formalize this intuition, and provide consistent estimators for the parameters of the regression model.