Recent developments in nonlinear panel data analysis allow the identification and estimation of general dynamic systems. We review some results and techniques for nonparametric identification and ...

In this paper we study neural networks and their approximating power in panel data models. We provide asymptotic guarantees on deep feed-forward neural network estimation of the conditional mean, ...

This is a preview. Log in through your library . Abstract Panel count data are commonly encountered in analysis of recurrent events where the exact event times are unobserved. To accommodate the ...