Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/56521
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dc.contributor.authorDai, Jingen_US
dc.contributor.authorZucchini, Walteren_US
dc.contributor.authorSperlich, Stefanen_US
dc.date.accessioned2011-12-01en_US
dc.date.accessioned2012-04-04T13:54:44Z-
dc.date.available2012-04-04T13:54:44Z-
dc.date.issued2011en_US
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_US
dc.language.isoengen_US
dc.publisher|aUniv., Dep. of Business Administration & Economics |cMarburgen_US
dc.relation.ispartofseries|aJoint discussion paper series in economics |x48-2011en_US
dc.subject.jelI12en_US
dc.subject.jelC51en_US
dc.subject.jelC53en_US
dc.subject.jelH75en_US
dc.subject.ddc330en_US
dc.subject.keywordpredicting health care demanden_US
dc.subject.keywordvisits to the doctoren_US
dc.subject.keywordhealth economicsen_US
dc.subject.keywordmodel selectionen_US
dc.subject.stwGesundheitswesenen_US
dc.subject.stwNachfrageen_US
dc.subject.stwKonsumentenverhaltenen_US
dc.subject.stwPrognoseverfahrenen_US
dc.subject.stwStatistisches Auswahlverfahrenen_US
dc.subject.stwSchätztheorieen_US
dc.subject.stwTheorieen_US
dc.subject.stwAustralienen_US
dc.titleEstimating and predicting the distribution of the number of visits to the medical doctoren_US
dc.typeWorking Paperen_US
dc.identifier.ppn675905524en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US

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