We describe specification and estimation of a multinomial treatment effects negative binomial regression model. A latent factor structure is used to accommodate selection into treatment, and a simulated likelihood method is used for estimation. We describe its implementation via the mtreatnb...

This paper reconsiders the equity issue in Swedish health care utilisation previously analyzed by Gerdtham (Health Economics 6, 303-319, 1997) within the framework of the standard two-part model. Departing from the user/nonuser distinction, we use the more flexible framework of the finite...

This article considers modeling response bias when the response is a count. The authors adopt a “structural approach†by using a generalized negative binomial mixture of Poisson distribution to model misreported counts, assuming that the distribution of the true response follows a...