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‘Estimation of Discrete Choice Models Using DCM for Ox’

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  • Eklöf, M.
  • Weeks, M.

Abstract

DCM (Discrete Choice Models) is a package for estimating a class of discrete choice models. Written in Ox, DCM is a class that implements a wide range of discrete choice models including standard binary response models, with notable extensions including conditional mixed logit, mixed probit, multinomial probit, and random coefficient ordered choice models. The current version can handle both cross-section and static panel data. DCM represents an important development for the discrete choice computing environment in making available a broad range of models which are now widely used by academics and practitioners. Developed as a derived class of Modelbase, users may access the functions within DCM by either writing Ox programs which create and use an object of the DCM class, or use the program in an interactive fashion via OxPack in GiveWin. We demonstrate the capabilities of DCM by using a number of applications from the discrete choice literature.

Suggested Citation

  • Eklöf, M. & Weeks, M., 2004. "‘Estimation of Discrete Choice Models Using DCM for Ox’," Cambridge Working Papers in Economics 0427, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:0427
    Note: EM
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    File URL: http://www.econ.cam.ac.uk/research-files/repec/cam/pdf/cwpe0427.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    discrete choice models; simulation methods; multinomial probit; mixed logit; ordinal response; revealed preference;
    All these keywords.

    JEL classification:

    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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