Article ID Journal Published Year Pages File Type
11004775 Economics Letters 2018 4 Pages PDF
Abstract
We propose a Poisson regression model that controls for three potential sources of persistence in panel count data; dynamics, latent heterogeneity and serial correlation in the idiosyncratic errors. We also account for the initial conditions problem. For model estimation, we develop a Markov Chain Monte Carlo algorithm. The proposed methodology is illustrated by a real example on the number of patents granted.
Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
Authors
,