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dc.contributor.authorDai, Jingen
dc.contributor.authorZucchini, Walteren
dc.contributor.authorSperlich, Stefanen
dc.date.accessioned2011-12-01-
dc.date.accessioned2012-04-04T13:54:44Z-
dc.date.available2012-04-04T13:54:44Z-
dc.date.issued2011-
dc.identifier.urihttp://hdl.handle.net/10419/56521-
dc.description.abstractIn many countries the demand for health care services is of increasing importance. Especially in the industrialized world with a changing demographic structure social insurances and politics face real challenges. Reliable predictors of those demand functions will therefore become invaluable tools. This article proposes a prediction method for the distribution of the number of visits to the medical doctor for a determined population, given a sample that is not necessarily taken from that population. It uses the estimated conditional sample distribution, and it can be applied for forecast scenarios. The methods are illustrated along data from Sidney. The introduced methodology can be applied as well to any other prediction problem of discrete distributions in real, future or any fictitious population. It is therefore also an excellent tool for future predictions, scenarios and policy evaluation.en
dc.language.isoengen
dc.publisher|aPhilipps-University Marburg, Faculty of Business Administration and Economics |cMarburgen
dc.relation.ispartofseries|aMAGKS Joint Discussion Paper Series in Economics |x48-2011en
dc.subject.jelI12en
dc.subject.jelC51en
dc.subject.jelC53en
dc.subject.jelH75en
dc.subject.ddc330en
dc.subject.keywordpredicting health care demanden
dc.subject.keywordvisits to the doctoren
dc.subject.keywordhealth economicsen
dc.subject.keywordmodel selectionen
dc.subject.stwGesundheitswesenen
dc.subject.stwNachfrageen
dc.subject.stwKonsumentenverhaltenen
dc.subject.stwPrognoseverfahrenen
dc.subject.stwStatistisches Auswahlverfahrenen
dc.subject.stwSchätztheorieen
dc.subject.stwTheorieen
dc.subject.stwAustralienen
dc.titleEstimating and predicting the distribution of the number of visits to the medical doctor-
dc.typeWorking Paperen
dc.identifier.ppn675905524en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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