A bivariate zero-inflated count data regression model with unrestricted correlation

C-Tier
Journal: Economics Letters
Year: 2008
Volume: 100
Issue: 2
Pages: 245-248

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper proposes a computationally simple bivariate zero-inflated count data regression model with an unrestricted correlation pattern. An application to data with excess of zeros on the demand for health services is given.

Technical Details

RePEc Handle
repec:eee:ecolet:v:100:y:2008:i:2:p:245-248
Journal Field
General
Author Count
2
Added to Database
2026-01-25