Examines split credibility, revealing its effects on parameter uncertainty in a collective risk model context.
This paper tackles the question: why should split credibility be better than credibility without a split? It corrects previous misunderstandings and presents new formulas showing how parameter uncertainty is reduced by use of unsplit credibility and then how it might be further reduced by introduction of a split. It derives the formulas for unsplit and split credibility when losses follow the widely used collective risk model (CRM). It then demonstrates that split credibility can sometimes be ineffective in a CRM context and can sometimes produce negative credibility values or inversions of the primary and excess credibilities. The paper concludes with a call for further research to find a stronger conceptual justification for the split credibility plan used in practice.
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Ira Robbin (2013) studied this question.
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