Generalized bivariate count data regression models

被引：46

作者：

Gurmu, S

Elder, J

机构：

[1] Georgia State Univ, Dept Econ, Atlanta, GA 30303 USA

[2] Middlebury Coll, Dept Econ, Middlebury, VT 05753 USA

来源：

ECONOMICS LETTERS | 2000年 / 68卷 / 01期

关键词：

correlation; censoring; unobserved heterogeneity; bivariate negbin;

D O I：

10.1016/S0165-1765(00)00225-1

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper proposes a flexible bivariate count data regression model that nests the bivariate negative binomial regression. An application to the demand for health services is given. (C) 2000 Elsevier Science S.A. All rights reserved. JEL classification: C35; I10.

引用

页码：31 / 36

页数：6

共 6 条

[1]

[Anonymous], 261 U VIRG DEP EC T

[2] A MICROECONOMETRIC MODEL OF THE DEMAND FOR HEALTH-CARE AND HEALTH-INSURANCE IN AUSTRALIA [J].