Efficiency of insurance distribution systems, the effect of marketing channels and ownership structure : an application of data envelopment analysis

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<rdf:Description>
<dc:creator>Hogan, Arthur</dc:creator>
<dc:creator>American Risk and Insurance Association (1995: Seattle)</dc:creator>
<dc:date>1995</dc:date>
<dc:description xml:lang="es">Ponencia presentada en American Risk and Insurance Association Annual Meeting, Seattle, 1995</dc:description>
<dc:description xml:lang="es">Sumario: In this paper the authors Data Envelopment Analysis (DEA) to examine the relative efficiency of insurance distribution by marketing channel and ownership structure. They find that direct writers are more efficient, than independent agents, and that stock firms have significantly higher than the mean efficiency than mutual firms. They empirically demonstrate that the efficiency of insurer ownership is interrelated with the marketing channel: a direct writing mutual is more efficient than a mutual company using independent agents; independent are more efficient for a stock company than for a mutual company. Additionally, they find that across all organizational forms and distribution systems, large insurers are more efficient than small ones</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/49489.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">Distribución de seguros</dc:subject>
<dc:subject xml:lang="es">Eficiencia organizativa</dc:subject>
<dc:subject xml:lang="es">Marketing</dc:subject>
<dc:subject xml:lang="es">Conferencias</dc:subject>
<dc:subject xml:lang="es">Congresos</dc:subject>
<dc:subject xml:lang="es">Márketing de la empresa de seguros</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Efficiency of insurance distribution systems, the effect of marketing channels and ownership structure : an application of data envelopment analysis</dc:title>
<dc:format xml:lang="es">15 p. ; 30 cm</dc:format>
</rdf:Description>
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