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<dc:title xml:lang="fr">Information et assurance : la segmentation des risques et la prévention dans un contexte de disponibilité des données</dc:title>
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<dc:subject xml:lang="fr">Assurance</dc:subject>
<dc:subject xml:lang="fr">Information</dc:subject>
<dc:subject xml:lang="fr">Segmentation</dc:subject>
<dc:subject xml:lang="fr">Personnalisation</dc:subject>
<dc:subject xml:lang="fr">Prévention</dc:subject>
<dc:subject xml:lang="en">Insurance</dc:subject>
<dc:subject xml:lang="en">Information</dc:subject>
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<dc:subject xml:lang="en">Prevention</dc:subject>
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<tef:elementdEntree autoriteExterne="034450734" autoriteSource="Sudoc">Information électronique</tef:elementdEntree>
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<dcterms:abstract xml:lang="fr">Cette thèse vise à améliorer la compréhension des conséquences que la disponibilité de l'information pourrait avoir sur la segmentation et la prévention des risques. Le premier chapitre propose une discussion globale sur l'impact des nouvelles données sur le secteur de l'assurance. Le deuxième chapitre analyse la segmentation des risques et la conséquence pour les agents à haut risque dans un cadre théorique. Dans le troisième chapitre, nous nous tournons vers l'étude des agents à bas risque, toujours dans le cadre théorique, en remettant en question l'idée que l'individualisation des primes d'assurance est avantageuse pour les assureurs privés et les agents à bas risque. Dans le quatrième chapitre, nous analysons de manière théorique et expérimentale la façon dont le type de contrat affecte le niveau de prévention des assurés et les déterminants du choix du contrat. Ce travail offre un nombre de résultats concernant l'effet de la disponibilité des données sur la couverture des hauts et des bas risques, les conséquences possibles pour la coexistence de l'assurance mutuelle et de l'assurance classique, ainsi que les contrats basés sur le comportement individuel.</dcterms:abstract>
<dcterms:abstract xml:lang="en">This thesis aims at improving the understanding of the consequences that the information availability might have on risk classification and risk prevention. The first chapter offers a global discussion on the impact that new data has on the insurance sector. The second chapter analyzes the risk classification regarding high-risk agents in particular, from the theoretical point of view. In the third chapter, we turn to the theoretical investigation regarding low-risk agents and challenge the idea that the individualization of insurance premiums is advantageous for private stock insurers and low-risk agents. In the fourth chapter, we analyze theoretically and experimentally how the contract type affects the policyholders' preventive actions, as well as the potential determinants of contract choice. This work provides a series of results regarding the potential impact of data availability on high and low risks' coverage, on the possible consequences for the co-existence and the comparative benefits of mutual and stock insurance in the light of enhanced risk segmentation, as well as the insurance contracts entirely based on the individual behavior.</dcterms:abstract>
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