Modeling event counts is important in many fields. For this purpose, the Poisson regression model is often used. However, this model assumes the equidispersion of the data. Unfortunately, this assumption is often violated in the observed data. The source of overdispersion depends on many...

This study investigates the allocation of dietary energy, iron, vitamin A and zinc within global food aid. The response of US and non-US donors to nutritional needs and donor interests is estimated with a dynamic correlated random effects Tobit model. Aid flows of the period 1993-2007 are...

We employ censored least absolute deviations and multivariate Tobit estimators to investigate whether food aid flows from the main donor countries respond to recipient country needs as reflected in low food availability, low income, or both. We also explore the hypothesis that donor countries...

In this note we investigate the power of significance test for dummy-variables in the context of Simar and Wilson (2003) two-stage efficiency analysis model.

Observation-driven models provide a flexible framework for modelling time series of counts. They are able to capture a wide range of dependence structures. Many applications in this field of research are concerned with count series whose conditional distribution given past observations and...

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 self-employment. We outline an econometric methodology to account for this approach and find that it is superior to...

In this paper, a decomposition method for Tobit-models is derived, which allows the differences in a censored outcome variable between two groups to be decomposed into a part that is explained by differences in observed characteristics and a part attributable to differences in the estimated...

This paper compares various models for time series of counts which can account for discreetness, overdispersion and serial correlation. Besides observation- and parameter-driven models based upon corresponding conditional Poisson distributions, we also consider a dynamic ordered probit model as...

This paper extends the truncated and endogenously stratified Poisson and negative binomial models to three alternative discrete distributions, namely the generalized Poisson, geometric, and Borel distributions. Our primary intention here is to demonstrate how improper treatment of the data...