available and widely used datasets. We present results on the identification of social networks from observational panel data … are all globally identified. While this result is relevant across different estimation strategies, we then describe how … high-dimensional estimation techniques can be used to estimate the interactions model based on the Adaptive Elastic Net …

available and widely used datasets. We present results on the identification of social networks from observational panel data …-varying networks. We then describe how high-dimensional estimation techniques can be used to estimate the interactions model based on …

We present results on the identification of social networks from observational panel data that contains no information …. While this result is relevant across different estimation strategies, we then describe how high-dimensional estimation …

the entire structure of social networks from observational panel data that contains no information on social ties between …-dimensional estimation techniques can be used to estimate the model based on the Adaptive Elastic Net GMM method. We showcase our method in …

social networks from observational panel data that contains no information on social ties between agents. In the context of a … exogenous social effect parameters are all globally identified. While this result is relevant across different estimation … strategies, we then describe how high-dimensional estimation techniques can be used to estimate the model based on the Adaptive …

the entire structure of social networks from observational panel data that contains no information on social ties between …-dimensional estimation techniques can be used to estimate the model based on the Adaptive Elastic Net GMM method. We showcase our method in …

This paper provides new identification results for panel data models with contextual and endogenous peer effects …

Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed … effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters … additively and interacts with treatment variables. We present identification and estimation methods for parameters of interest in …