This paper is concerned with the problems of posterior simulation and model choice for Poisson panel data models with multiple random effects. Efficient algorithms based on Markov Chain Monte Carlo methods for sampling the posterior distribution are developed. A new parameterization of the...

Credit scoring systems created for the evaluation of new applications are based on the available statistical information which is related to the behaviour of former clients with credit. Usually, financial institutions apply discriminant analysis techniques to create these systems but they lack...

Deductibles in health insurance are often regarded as a means to contain health care costs when individuals exhibit moral hazard. However, in the absence of moral hazard, voluntarily chosen deductibles may instead lead to self-selection into different insurance contracts.We use a set of new...

This paper reports on a re-evaluation of the German health care reform of 1997. A previous evaluation found a limited effect of a 4.4 percent reduction of the number of doctor visits in a sample of pharmacy customers. The re-evaluation based on a representative household survey, the German...

The paper makes three contributions to the economics literature on entrepreneurship. We offer a new measure of entrepreneurship which accounts for variations in persistence in selfemployment and as a result avoids the weakness of approaches which categorise an individual as an entrepreneur by...

We estimate the determinants of utilisation of physician and hospital services in Belgium using four different regression techniques. We apply a one- and two-part panel count data model, and a oneand two part cross-section count data model. We conclude that the two-part panel count data model is...

In this paper we develop a dynamic model for integer counts to capture the discreteness 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 price...

We introduce a new method for drawing state variables in Gaussian state space models from their conditional distribution given parameters and observations. Unlike standard methods, our method does not involve Kalman filtering. We show that for some important cases, our method is computationally...

This study examines per trip consumer surplus associated with guided whitewater rafting on two southern rivers. First, household recreation demand functions are estimated based on the individual travel cost model using truncated count data regression methods and alternative price specifications....

This paper tests the null hypothesis of no horisontal inequity in delivery of health care by use of count data Hurdle models and swedish micro data. It differs from most earlier work in three principal ways: First, the tests are carried out separately for physician and hospital care; second, the...