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

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<rdf:Description>
<dc:creator>Qu, Bo</dc:creator>
<dc:creator>Wei, Li</dc:creator>
<dc:creator>Wei, Ping</dc:creator>
<dc:date>2018-07-01</dc:date>
<dc:description xml:lang="es">Sumario: 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</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/165576.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Mercado de seguros</dc:subject>
<dc:subject xml:lang="es">Industria automovilística</dc:subject>
<dc:subject xml:lang="es">Seguro de automóviles</dc:subject>
<dc:subject xml:lang="es">Información asimétrica</dc:subject>
<dc:subject xml:lang="es">Clasificación de riesgos</dc:subject>
<dc:subject xml:lang="es">China</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">An Empirical investigation of asymmetric information in China's automobile insurance market</dc:title>
<dc:relation xml:lang="es">En: Geneva papers on risk and insurance : issues and practice. - Geneva : The Geneva Association, 1976- = ISSN 1018-5895. - 02/07/2018 Volumen 43 Número 3 - julio 2018 , p. 520-538</dc:relation>
<dc:coverage xml:lang="es">China</dc:coverage>
</rdf:Description>
</rdf:RDF>