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dc.contributor.authorDragos, Cristian Mihai
dc.contributor.authorDragos, Simona Laura
dc.date.accessioned2018-01-05T09:29:42Z
dc.date.available2018-01-05T09:29:42Z
dc.date.issued2017
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2017, č. 4, s. 88-102.cs
dc.identifier.issn2336-5604 (Online)
dc.identifier.issn1212-3609 (Print)
dc.identifier.urihttp://hdl.handle.net/11025/26607
dc.format15 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTechnická univerzita v Libercics
dc.relation.ispartofseriesE+M. Ekonomie a Management = Economics and Managementcs
dc.rights© Technická univerzita v Libercics
dc.rightsCC BY-NC 4.0cs
dc.subjectpojištění motorových vozidelcs
dc.subjectrizikový profilcs
dc.subjectspotřebitelské chovánícs
dc.subjectmodely diskrétního výběrucs
dc.subjectROC křivkacs
dc.titleEstimating consumers’ behaviour in motor insurance using discrete choice modelsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedInsurance is a fi nancial service in which consumption is highly affected by the characteristics of the potential buyer and his perceptions about the offered product. Motor insurance with its two components – the Motor Third Party Liability Insurance (MTPL) and the Motor Damage insurance – constitutes the largest line of business of the non-life insurance sector in Europe. The present study models the voluntary motor damage insurance consumer behaviour using discrete choice models, hypothesizing a hierarchical and a non-hierarchical decision. The sample consists of 311 car owners from Cluj County, Romania. The econometric estimations use binary logit, multinomial logit and nested logit models. The predictive power of these models is compared by means of the Receiver Operating Characteristic curve for discrete choice models. The results reveal that the main factors affecting the purchase of a voluntary motor insurance policy are risk preference/aversion, the distance travelled by car, the driver’s education level and the ratio between the driver’s income and the car price. In contrast to previous studies who estimated the risk profi le only through proxy variables without accounting for any behavioural aspects, our study has successfully integrated the risk profi le of the policyholders as a self-standing explanatory variable. Since the explanatory variables are representative not only for a particular geographical area, the highlighted behaviour may be applied to all cases where motor damage insurance is voluntary.en
dc.subject.translatedmotor insuranceen
dc.subject.translatedrisk profileen
dc.subject.translatedconsumer behaviouren
dc.subject.translateddiscrete choice modelsen
dc.subject.translatedROC curveen
dc.identifier.doi10.15240/tul/001/2017-4-007
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Číslo 4 (2017)
Číslo 4 (2017)

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