TY  - BOOK
AU  - Belloc,Filippo
AU  - Bernardi,Mauro
AU  - Maurotti,Antonello
AU  - Petrella,Lea
TI  - A dynamic hurdle model for zeroinflated panel count data
SN  - 13504851
AV  - HB1.A666 APP 
PY  - 2013///
CY  - New York
PB  - Taylor and Francis
KW  - Hurdle model
KW  - Dynamic models
KW  - Finite mixture
N2  - This article proposes an approximate conditional dynamic finite mixture hurdle model for panel count data with excess of zeros and endogenous initial conditions. We provide parameter estimates by using the Expectation-Maximization (EM) algorithm in a Nonparametric Maximum Likelihood (NPML) framework. An application to a unique data set on traffic violation counts of a subpopulation of Italian drivers is given
UR  - https://doi.org/10.1080/13504851.2012.750447
ER  -