A zero-inflated negative binomial regression model with hidden Markov chain

This paper proposes a zero-inflated negative binomial regression model with hidden Markov chain for panel count data with excess zeros, and provides an estimation method using the EM and quasi-Newton algorithms. An application to the analysis of FDI is given.