This article proposes a new method for analysing panel data based on modelling heterogeneity of individuals or entities as a regime-switching process. There are several advantages to this approach.

The conversation about artificial intelligence typically orbits around model architecture, parameter counts, 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 This paper proposes a dual-level inefficiency model for analysing datasets with a sub-company structure, which permits firm inefficiency to be ...

Everything old is new again. Surveys are on the rise, marketers are turning their attention to media mix modeling (MMM) – and Google is recruiting participants for an online panel through a ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Identifying causal relationships from observational data is not easy. Still, ...