Insurance companies in Mozambique: a two-stage DEA and neural networks on efficiency and capacity slacks

C-Tier
Journal: Applied Economics
Year: 2014
Volume: 46
Issue: 29
Pages: 3591-3600

Authors (2)

Carlos Pestana Barros Peter Wanke (not in RePEc)

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 article analyses the efficiency of Mozambique insurance companies using a DEA model. Two DEA models are used and a bootstrap approach adopted. Furthermore, the efficiency scores are predicted based on neural networks. The results reveal that Mozambique insurance companies’ output-increasing potentials are severely constrained, particularly in terms of the ceded reinsurance increasing potentials. Policy implications are derived.

Technical Details

RePEc Handle
repec:taf:applec:v:46:y:2014:i:29:p:3591-3600
Journal Field
General
Author Count
2
Added to Database
2026-01-24