1 citations · 2 across the 3 of their papers we have counts for
3 papers
econ.EM2026
Regression with Observational Multilayered Network Data
Juan Estrada, Kim Huynh, David Jacho-Chavez +1
A novel method to estimate social effect coefficients in the popular so-called linear-in-means regression model in the Social Sciences is presented here that utilizes non-experimen…
econ.EM2026★ 1 cited
Estimating Peer Influence in Multilayer Networks
Weihua An, Pablo Estrada, Juan Estrada +1
This paper proposes a model-based empirical method to identify influential individuals in risky behaviors. To determine the most influential individuals, we estimate peer influence…
econ.EM2026★ 1 cited
Estimating Social Effects with Randomized and Observational Network Data
TszKin Julian Chan, Juan Estrada, Kim Huynh +3
This paper introduces an innovative approach to identifying and estimating the parameters of interest in the widely recognized linear-in-means regression model under conditions whe…