Identifiability of the misspecified split hazard models

C-Tier
Journal: Applied Economics
Year: 2011
Volume: 43
Issue: 24
Pages: 3441-3447

Score contribution per author:

1.005 = (α=2.01 / 1 authors) × 0.5x C-tier

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

Abstract

Unlike standard models, a split population hazard model allows the exit probability to be less than one. Although conceptually attractive, split models are prone to identification problems. In the reduced form estimation of the hazard function, the influence of split may not be distinguishable from that of neglected heterogeneity. For illustration, I use Monte Carlo simulations to highlight the problem of interpreting the structural parameters of the split Weibull and the Weibull-gamma models.

Technical Details

RePEc Handle
repec:taf:applec:v:43:y:2011:i:24:p:3441-3447
Journal Field
General
Author Count
1
Added to Database
2026-01-25