This article explores alternative approaches to modeling the relationship between the number of patents and research and development expenditure. Patent counts typically exhibit long upper tails that are inadequately mod-eled by standard Poisson and negative binomial regression models. We...

Blonigen has studied the Japanese foreign direct investment (FDI) in the United States using panel count models and data for 1975-92. He reports the overall finding that appreciation of Japanese yen had a positive impact on Japanese FDI in the U.S.A. This paper reexamines the robustness of this...

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 studies the effect of managed care on medical expenditure using a model in which the insurance status is assumed to be endogenous. Insurance plan choice is modeled through the multinomial probit model. The medical expenditure variable, the outcome of interest, has a significant...

In this talk, I will cover a number of topics related to the estimation of panel models for count data, with empirical illustrations estimated using Stata. For the theoretical background, I will rely on my book with Colin Cameron, Microeconometrics: Methods and Applications (2005, Cambridge...

Microeconometrics Using Stata, Revised Edition, by A. Colin Cameron and Pravin K. Trivedi, is an outstanding introduction to microeconometrics and how to do microeconometric research using Stata. Aimed at students and researchers, this book covers topics left out of microeconometrics textbooks...

We develop a model specification and estimation framework that is applicable to many microeconometric models which fall into a treatment-outcome framework. We apply our methodology to examine the causal effect of man-aged care on the utilization of health care services. Specifically, we jointly...