Dataset Information

Advantageous Selection, Moral Hazard, and Insurer Sorting on Risk in the U.S. Automobile Insurance Market.

ABSTRACT: This study quantifies the role of private information in automobile insurance policy choice using data on subjective beliefs, risk preference, reckless driving, the respondent's insurer and insurance policy characteristics merged with insurer-specific quality ratings distributed by independent organizations. We find a zero correlation between ex post accident risk and insurance coverage, reflecting advantageous selection in policy choice offset by moral hazard. Advantageous selection is partly attributable to insurer sorting on consumer attributes known and used by insurers. Our analysis of insurer sorting reveals that lower-risk drivers on attributes observed by insurers obtain coverage from insurers with higher-quality ratings.

SUBMITTER: Sloan FA

PROVIDER: S-EPMC6157753 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Publications

Advantageous Selection, Moral Hazard, and Insurer Sorting on Risk in the U.S. Automobile Insurance Market.

Sloan Frank A FA Robinson Patricia A PA Eldred Lindsey M LM

The Journal of risk and insurance 20161128 2

This study quantifies the role of private information in automobile insurance policy choice using data on subjective beliefs, risk preference, reckless driving, the respondent's insurer and insurance policy characteristics merged with insurer-specific quality ratings distributed by independent organizations. We find a zero correlation between ex post accident risk and insurance coverage, reflecting advantageous selection in policy choice offset by moral hazard. Advantageous selection is partly a ...[more]

PMID: 30270938

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Project description:ObjectiveThe huge loss of health insurance funds has been a topic of concern around the world. This study aims to explore the network of moral hazard activities and the attribution mechanisms that lead to the loss of medical insurance funds.MethodsData were derived from 314 typical cases of medical insurance moral hazards reported on Chinese government official websites. Social network analysis (SNA) was utilized to visualize the network structure of the moral hazard activities, and crisp-set qualitative comparative analysis (cs/QCA) was conducted to identify conditional configurations leading to funding loss in cases.ResultsIn the moral hazard activity network of medical insurance funds, more than 50% of immoral behaviors mainly occur in medical service institutions. Designated private hospitals (degree centrality = 33, closeness centrality = 0.851) and primary medical institutions (degree centrality = 30, closeness centrality = 0.857) are the main offenders that lead to the core problem of medical insurance fraud (degree centrality = 50, eigenvector centrality = 1). Designated public hospitals (degree centrality = 27, closeness centrality = 0.865) are main contributor to another important problem that illegal medical charges (degree centrality = 26, closeness centrality = 0.593). Non-medical insurance items swap medical insurance items (degree centrality = 28), forged medical records (degree centrality = 25), false hospitalization (degree centrality = 24), and overtreatment (degree centrality = 23) are important immoral nodes. According to the results of cs/QCA, low-economic pressure, low informatization, insufficient policy intervention, and organization such as public medical institutions, were the high-risk conditional configuration of opportunism; and high-economic pressure, insufficient policy intervention, and organizations, such as public medical institutions and high violation rates, were the high-risk conditional configuration of risky adventurism (solution coverage = 31.03%, solution consistency = 90%).ConclusionThere are various types of moral hazard activities in medical insurance, which constitute a complex network of behaviors. Most moral hazard activities happen in medical institutions. Opportunism lack of regulatory technology and risky adventurism with economic pressure are two types causing high loss of funds, and the cases of high loss mainly occur before the government implemented intervention. The government should strengthen the regulatory intervention and improve the level of informatization for monitoring the moral hazard of medical insurance funds, especially in areas with low economic development and high incident rates, and focus on monitoring the behaviors of major medical services providers.

Dataset Information

Advantageous Selection, Moral Hazard, and Insurer Sorting on Risk in the U.S. Automobile Insurance Market.

Publications

Advantageous Selection, Moral Hazard, and Insurer Sorting on Risk in the U.S. Automobile Insurance Market.

Similar Datasets

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