Wybrane dwuwymiarowe modele dla zmiennych licznikowych w ekonomii

• Authors: Jerzy Marzec

Title variants

EN

Bivariate Count Data Models in Economics

• Languages of publication: PL

Abstracts

EN

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.

Keywords

EN

CORRELATED COUNT VARIABLES; BIVARIATE POISSON REGRESSION MODELS; POISSON LOGNORMAL DISTRIBUTION; CONDITIONAL POISSON MODEL

• Publisher: Wydawnictwo Uniwersytetu Ekonomicznego w Krakowie
• Journal: Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie
• Year: 2012
• Issue: 884
• Pages: 59-70

Contributors

author

Jerzy Marzec

• Uniwersytet Ekonomiczny w Krakowie, Katedra Ekonometrii i Badań Operacyjnych, ul. Rakowicka 27, 31-510 Krakow, Poland

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