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    A Model for Ordered Data with Clustering of Observations

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    A Model for Ordered Data with Clustering of Observations (170.8Kb)

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    Author
    Fry, Tim R. L.; Harris, Mark N.
    Date
    2000-01
    University of Melbourne Author/s
    Fry, Tim; HARRIS, MARK NORMAN
    Affiliation
    Economics and Commerce: Melbourne Institute of Applied Economic and Social Research
    Metadata
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    Document Type
    Preprint
    Citations
    Fry, Tim R. L. and Harris, Mark N. (2000) A Model for Ordered Data with Clustering of Observations .
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/33669
    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 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.
    Keywords
    ordered data; digit preferences; inflationary expectations; JEL Classifications: C25 Discrete Regression and Qualitative Choice Models; D12 Consumer Economics: Empirical Analysis; E31 Price Level; Inflation; Deflation

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