Recent Developments in Count Data Modelling: Theory and Application.

C-Tier
Journal: Journal of Economic Surveys
Year: 1995
Volume: 9
Issue: 1
Pages: 1-24

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 deals with statistical methods for modelling individual behavior when the endogenous variable is a nonnegative integer. Examples are the number of children, the number of job changes or the number of shopping trips in a given period. Several approaches--Poisson, robust Poisson, negative binomial (NEGBIN), NEGBIN[subscript k], hurdle Poisson, truncated-at-zero Poisson--are discussed with a focus on specification, estimation, and testing. An application to labor mobility data illustrates the gain obtained by carefully taking into account the specific structure of the data. Copyright 1995 by Blackwell Publishers Ltd

Technical Details

RePEc Handle
repec:bla:jecsur:v:9:y:1995:i:1:p:1-24
Journal Field
General
Author Count
2
Added to Database
2026-01-29