Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11004775 | Economics Letters | 2018 | 4 Pages |
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
Stefanos Dimitrakopoulos,