An Empirical investigation of asymmetric information in China's automobile insurance market

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<title>Empirical investigation of asymmetric information in China's automobile insurance market</title>
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<namePart>Wei, Li</namePart>
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<abstract displayLabel="Summary">In this paper, we investigate the asymmetric information in China's automobile insurance market and propose a set of risk classification approaches to alleviate it. Using a unique data set of automobile insurance coverage in China from 2011 to 2013, we discover that policyholders who purchase more insurance coverage are riskier, which indicates the presence of information asymmetry in China's automobile insurance market. Controlling the attributes of the automobiles does not affect the main results. Moreover, based on data mining technology, we find that the risk classification approach is able to mitigate the problem of asymmetric information in China's automobile insurance market to some extent with little additional cost</abstract>
<note type="statement of responsibility">Bo Qu, Li Wei, Ping Wei</note>
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<topic>Mercado de seguros</topic>
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<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080617219">
<topic>Industria automovilística</topic>
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<topic>Seguro de automóviles</topic>
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<topic>Información asimétrica</topic>
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<topic>Clasificación de riesgos</topic>
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<geographic>China</geographic>
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<title>Geneva papers on risk and insurance : issues and practice</title>
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<publisher>Geneva : The Geneva Association, 1976-</publisher>
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<identifier type="issn">1018-5895</identifier>
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<text>02/07/2018 Volumen 43 Número 3 - julio 2018 , p. 520-538</text>
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