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A Model for Ordered Data with Clustering of Observations

Author

Listed:
  • Tim R. L. Fry

    (Department of Econometrics and Business Statistics Monash University)

  • Mark N. Harris

    (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

Suggested Citation

  • Tim R. L. Fry & Mark N. Harris, 2000. "A Model for Ordered Data with Clustering of Observations," Melbourne Institute Working Paper Series wp2000n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    • Handle: RePEc:iae:iaewps:wp2000n02
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    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2000n02.pdf
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    Cited by:

    1. Yi-Ping Tseng, 2001. "Individuals’ Wage Changes in Australia 1997-2000," Melbourne Institute Working Paper Series wp2001n04, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    More about this item

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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