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dc.contributor.authorFry, Tim R. L.en_US
dc.contributor.authorHarris, Mark N.en_US
dc.date.accessioned2014-05-22T09:47:45Z
dc.date.available2014-05-22T09:47:45Z
dc.date.issued2000-01en_US
dc.date.submitted2002-09-04en_US
dc.identifier.citationFry, Tim R. L. and Harris, Mark N. (2000) A Model for Ordered Data with Clustering of Observations .en_US
dc.identifier.urihttp://hdl.handle.net/11343/33669
dc.description.abstractThere is no qualitative dependent model that can simultaneously account for data sets in which the variable of interest has both a multi-modal distribution and is potentially ordered. Such a multimodal distribution may be the result of individuals being captive to particular choices. Such a case arises when there is digit preferencing (particular numbers, such as 0, 5 and 101 are often favored in many survey-based data sets). This paper introduces a new discrete choice model, the Digit Ordered Extreme Value (DOGEV), that does account for both ordering and digit preferencing in the data, and applies it to an Australian Inflationary Expectations data set.en_US
dc.formatapplication/pdfen_US
dc.languageengen_US
dc.relation.isversionofhttp://www.ecom.unimelb.edu.au/iaesrwww/wp/wp2000n02.pdfen_US
dc.subjectordered dataen_US
dc.subjectdigit preferencesen_US
dc.subjectinflationary expectationsen_US
dc.subjectJEL Classifications: C25 Discrete Regression and Qualitative Choice Modelsen_US
dc.subjectD12 Consumer Economics: Empirical Analysisen_US
dc.subjectE31 Price Levelen_US
dc.subjectInflationen_US
dc.subjectDeflationen_US
dc.titleA Model for Ordered Data with Clustering of Observationsen_US
dc.typePreprinten_US
melbourne.peerreviewNon Peer Revieweden_US
melbourne.affiliation.departmentEconomics and Commerce: Melbourne Institute of Applied Economic and Social Researchen_US
melbourne.source.month01en_US
melbourne.elementsidNA
melbourne.contributor.authorFry, Tim
melbourne.contributor.authorHARRIS, MARK NORMAN
melbourne.accessrightsOpen Access


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