A Model for Ordered Data with Clustering of Observations

Tim Fry and Mark Harris

Melbourne Institute Working Paper Series from Melbourne Institute of Applied Economic and Social Research, The University of Melbourne

Abstract: There 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 Dogit 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

JEL-codes: C25 D12 E31 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2000-01
New Economics Papers: this item is included in nep-dcm and nep-ecm
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:iae:iaewps:wp2000n02

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