Since the early 1990s, researchers have routinely used count data models (such as the Poisson and negative binomial) to estimate the demand for recreational activities. Along with the success and popularity of count data models in recreational demand analysis during the last decade, a number of...

In contrast to abundant theoretical literature, there are almost no empirical studies on how individuals actually deal with cash. In this paper we analyze euro transactions, made during various games of Monopoly® (European edition), where in some games we deliberately left out one of the...

In this paper we develop a dynamic model for integer counts to capture the dis- creteness of price changes for financial transaction prices. Our model rests on an autoregressive multinomial component for the direction of the price change and a dynamic count data component for the size of the...

The Stata 11 margins command makes it easier to estimate adjusted risk ratios, and the new robust variance option for xtpoisson, fe provides correct confidence intervals for adjusted risk ratios from matched-cohort data. Copyright 2011 by StataCorp LP.

In this article, we identify and illustrate some shortcomings of the poisson command in Stata. Specifically, we point out that the command fails to check for the existence of the estimates, and we show that it is very sensitive to numerical problems. While these are serious problems that may...