Bivariate Count Data Models in Economics Cover Image

Wybrane dwuwymiarowe modele dla zmiennych licznikowych w ekonomii
Bivariate Count Data Models in Economics

Author(s): Jerzy Marzec
Subject(s): Economy
Published by: Wydawnictwo Uniwersytetu Ekonomicznego w Krakowie
Keywords: correlated count variables; bivariate Poisson regression models; Poisson lognormal distribution; conditional Poisson model

Summary/Abstract: This paper presents an overview of selected bivariate count data regressions. I describe the properties of a standard bivariate Poisson distribution and discuss the main limitation of this model – its exclusion of a zero and negative correlation between two count variables. I then present two alternative approaches, the Poisson lognormal model and conditional Poisson model. I discuss a number of their merits and compare the properties of each of the two models that allow for a flexible correlation structure. Here I show that the practical applications of these models are not limited. Many examples demonstrate where one can use these models in various areas of economics.

  • Issue Year: 884/2012
  • Issue No: 08
  • Page Range: 59-70
  • Page Count: 12
  • Language: Polish