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Risk Classification Efficiency and the Insurance Market Regulation

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  • Donatella Porrini

    (Dipartimento di Scienze dell'Economia, Università del Salento, Ecotekne, Via per Monteroni, Lecce 73100, Italy)

Abstract

Given that the insurance market is characterized by asymmetric information, its efficiency has traditionally been based to a large extent on risk classification. In certain regulations, however, we can find restrictions on these differentiations, primarily the ban on those considered to be “discriminatory”. In 2011, following the European Union Directive 2004/113/EC, the European Court of Justice concluded that any gender-based discrimination was prohibited, meaning that gender equality in the European Union had to be ensured from 21 December 2012. Another restriction was imposed by EU and national competition regulation on the exchange of information considered as anti-competitive behavior. This paper aims to contribute to the recent policy debate in the EU, evaluating the negative economic consequences of these regulatory restrictions in terms of market efficiency.

Suggested Citation

  • Donatella Porrini, 2015. "Risk Classification Efficiency and the Insurance Market Regulation," Risks, MDPI, vol. 3(4), pages 1-10, September.
    • Handle: RePEc:gam:jrisks:v:3:y:2015:i:4:p:445-454:d:56474
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    Cited by:

    1. David A. Cather, 2020. "Reconsidering insurance discrimination and adverse selection in an era of data analytics," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(3), pages 426-456, July.
    2. Mihail Busu & Cristian Busu, 2021. "Detecting Bid-Rigging in Public Procurement. A Cluster Analysis Approach," Administrative Sciences, MDPI, vol. 11(1), pages 1-14, February.
    3. Francesco Masi & Donatella Porrini, 2021. "Cultural Heritage and natural disasters: the insurance choice of the Italian Cathedrals," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 409-433, September.
    4. Donatella Porrini & Giulio Fusco & Cosimo Magazzino, 2020. "Black boxes and market efficiency: the effect on premiums in the Italian motor-vehicle insurance market," European Journal of Law and Economics, Springer, vol. 49(3), pages 455-472, June.
    5. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    6. Alexander Tsyganov & Nadezda Kirillova, 2018. "Regional Aspect of the Russian Insurance Market," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1270-1281.
    7. Aleksandr Kuklin & Maria Pecherkina & Alexander Tyrsin & Alfiya Surina, 2017. "Methodological Tools for the Detection of Risks to the Welfare of the Individuals and the Territory of Residence," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1030-1043.

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