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An anti-ideal point representation of economic discrete choice models

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  • Bordley, Robert F.
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    Abstract

    The popular mixed logit model, which can closely approximate virtually any other random utility model can be approximated by a more visual, and computationally more tractable, anti-ideal point model.

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    Bibliographic Info

    Article provided by Elsevier in its journal Economics Letters.

    Volume (Year): 110 (2011)
    Issue (Month): 1 (January)
    Pages: 60-63

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    Handle: RePEc:eee:ecolet:v:110:y:2011:i:1:p:60-63

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    Web page: http://www.elsevier.com/locate/ecolet

    Related research

    Keywords: Discrete choice Mixed logit Anti-ideal point Large choice set;

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    1. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt1j6814b3, University of California Transportation Center.
    2. Bagnoli, M. & Bergstrom, T., 1989. "Log-Concave Probability And Its Applications," Papers 89-23, Michigan - Center for Research on Economic & Social Theory.
    3. Hansen, Eric R., 1987. "Industrial location choice in Sao Paulo, Brazil : A nested logit model," Regional Science and Urban Economics, Elsevier, vol. 17(1), pages 89-108, February.
    4. Wagner A. Kamakura & Rajendra K. Srivastava, 1986. "An Ideal-Point Probabilistic Choice Model for Heterogeneous Preferences," Marketing Science, INFORMS, vol. 5(3), pages 199-218.
    5. Dube, J.-P. & Chintagunta, P. & Petrin, A. & Bronnenberg, B.J.J.A.M. & Goettler, R. & Seetharaman, P.B. & Sudhir, K. & Thomadsen, R. & Zhao, Y., 2002. "Structural applications of the discrete choice model," Open Access publications from Tilburg University urn:nbn:nl:ui:12-332636, Tilburg University.
    6. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-90, July.
    7. Matthew Harding & Jerry Hausman, 2006. "Using a Laplace approximation to estimate the random coefficients logit model by non-linear least squares," CeMMAP working papers CWP20/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, April.
    9. John M. Quigley, 1976. "Housing Demand in the Short Run: An Analysis of Polytomous Choice," NBER Chapters, in: Explorations in Economic Research, Volume 3, number 1, pages 76-102 National Bureau of Economic Research, Inc.
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