. Leading examples where this is the case are models for panel and network data that feature fixed effects. In this paper, we …

The Arellano-Bond estimator is a fundamental method for dynamic panel data models, widely used in practice. However … overidentification. We show that weak dependence along the panel's time series dimension naturally implies approximate sparsity of the … county-level panel data from the United States to study opening K-12 schools and other mitigation policies' short and long …

In this paper we investigate panel regression models with interactive fixed effects. We propose two new estimation …

Factor structures or interactive effects are convenient devices to incorporate latent variables in panel data models …. We consider fixed effect estimation of nonlinear panel single-index models with factor structures in the unobservables … parameters and average partial effects have normal distributions when the two dimensions of the panel grow large, but might …

Factor structures or interactive effects are convenient devices to incorporate latent variables in panel data models …. We consider fixed effect estimation of nonlinear panel single-index models with factor structures in the unobservables … parameters and average partial effects have normal distributions when the two dimensions of the panel grow large, but might …