Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/189484 
Erscheinungsjahr: 
1998
Schriftenreihe/Nr.: 
Working Paper No. 98-15
Verlag: 
University of California, Department of Economics, Davis, CA
Zusammenfassung: 
Most research on count data regression models, i.e. models for there the dependent variable takes only non-negative integer values or count values, has focused on the univariate case. Very little attention has been given to joint modeling of two or more counts. We propose parametric regression models for bivariate counts based on squared polynomial expansions around a baseline density. The models are more flexible than the current leading bivariate count model, the bivariate Poisson. The models are applied to data on the use of prescribed and nonprescribed medications.
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
256.51 kB





Publikationen in EconStor sind urheberrechtlich geschützt.