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

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.

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