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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.

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File URL: http://www.econ.cam.ac.uk/research/repec/cam/pdf/cwpe0427.pdf
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Bibliographic Info

Paper provided by Faculty of Economics, University of Cambridge in its series Cambridge Working Papers in Economics with number 0427.

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Length: 47
Date of creation: Apr 2004
Date of revision:
Handle: RePEc:cam:camdae:0427

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Web page: http://www.econ.cam.ac.uk/index.htm

Related research

Keywords: discrete choice models; simulation methods; multinomial probit; mixed logit; ordinal response; revealed preference;

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  1. Bhat, Chandra R., 2003. "Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 837-855, November.
  2. repec:att:wimass:9217 is not listed on IDEAS
  3. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
  4. repec:att:wimass:8905 is not listed on IDEAS
  5. Pakes, Ariel & Pollard, David, 1989. "Simulation and the Asymptotics of Optimization Estimators," Econometrica, Econometric Society, vol. 57(5), pages 1027-57, September.
  6. Daniel McFadden, 1987. "A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration," Working papers 464, Massachusetts Institute of Technology (MIT), Department of Economics.
  7. Alan Duncan & Melvyn Weeks, . "Non-Nested Models of Labour Supply with Discrete Choices," Discussion Papers 97/20, Department of Economics, University of York.
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