1 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…