Premium
Seemingly Unrelated Negative Binomial Regression
Author(s) -
Winkelmann Rainer
Publication year - 2000
Publication title -
oxford bulletin of economics and statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.131
H-Index - 73
eISSN - 1468-0084
pISSN - 0305-9049
DOI - 10.1111/1468-0084.00188
Subject(s) - negative binomial distribution , count data , multivariate statistics , negative multinomial distribution , econometrics , statistics , poisson regression , contrast (vision) , poisson distribution , mathematics , quasi likelihood , parametric statistics , estimation , dispersion (optics) , beta binomial distribution , computer science , economics , demography , population , physics , management , artificial intelligence , sociology , optics
This paper discusses the specification and estimation of seemingly unrelated multivariate count data models. A new model with negative binomial marginals is proposed. In contrast to a previous model based on the multivariate Poisson distribution, the new model allows for over‐dispersion, a phenomenon that is frequently encountered in economic count data. Semi‐parametric estimation is possible if some of the assumption of the fully specified model are violated.