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

Year: 2014

Type: article

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.

Source: Applied Economics

DOI: 10.1080/00036846.2014.934436

Authors: Carlos Pestana Barros, Peter Wanke

Institutions: University of Lisbon, ISEG - Instituto Superior de Economia e Gestão, Universidade Federal do Rio de Janeiro

Language: English

Topic: Efficiency Analysis Using DEA

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W1598668233

FWCI: 3.79

Cites: 70

Cited by: 44

Related to: 10