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 ...

We propose a heterogeneous time-varying panel data model with a latent group structure that allows the coefficients to vary over both individuals and time. We assume that the coefficients change ...

2019 FEB 19 (NewsRx) -- By a News Reporter-Staff News Editor at Economics Daily Report -- Investigators discuss new findings in Economics. According to news originating from Lancaster, United Kingdom, ...

Review of Financial Studies, January, 2009, Volume 22, pp 435-480. In corporate finance and asset pricing empirical work, researchers are often confronted with panel data. In these data sets, the ...

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 paper takes a fresh look at the determinants of reserves holding with the aim of highlighting similarities and differences in the motives for holding reserves among emerging markets (EMs), ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation We revisit Lipset‘s law, which posits a positive and significant relationship between income and democracy. Using dynamic ...

A large body of past research, looking across countries, states, and metropolitan areas, has found positive and statistically significant associations between income inequality and mortality. By ...

This paper estimates the total factor productivity (TFP) of hospitals by using panel data drawn from prefectures and secondary medical areas. The study focuses on the economies of scale at the medical ...