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Constrained Minimum Discrimination Information: A Unifying Tool for Modeling Spatial and Individual Choice Behavior

Author

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  • K E Haynes

    (School of Public and Environmental Affairs and Department of Geography, Indiana University, Bloomington, IN 47405, USA)

  • F Y Phillips

    (Market Research Corporation of America, 2215 Sanders Road, Northbrook, IL 60062, USA)

Abstract

Mathematical programming and statistical inference are combined in a constrained minimum discrimination information (MDI) method to provide a basis for a wide range of spatial and individual choice behavior problems. This approach offers an alternative to linear and loglinear regression estimation methods as well as probabilistic models of the logit and probit variety. Some logical and computational difficulties inherent in these approaches are resolved. Further, the approach leads endogenously to alternative hypotheses if the null hypothesis is rejected, and hence has implications for the interaction between research that is oriented toward theory construction and applied research that is empirically oriented.

Suggested Citation

  • K E Haynes & F Y Phillips, 1982. "Constrained Minimum Discrimination Information: A Unifying Tool for Modeling Spatial and Individual Choice Behavior," Environment and Planning A, , vol. 14(10), pages 1341-1354, October.
    • Handle: RePEc:sae:envira:v:14:y:1982:i:10:p:1341-1354
    DOI: 10.1068/a141341
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    References listed on IDEAS

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    1. Charnes, A. & Raike, W. M. & Bettinger, C. O., 1972. "An extremal and information-theoretic characterization of some interzonal transfer models," Socio-Economic Planning Sciences, Elsevier, vol. 6(6), pages 531-537, December.
    2. Tae Hoon Oum, 1979. "A Warning on the Use of Linear Logit Models in Transport Mode Choice Studies," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 374-388, Spring.
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    Cited by:

    1. Nijkamp, P. & Reggiani, A., 1986. "Analysis of dynamic spatial interaction models by means of optimal control," Serie Research Memoranda 0051, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Nijkamp, P. & Reggiani, A., 1986. "A synthesis between macro and micro models in spatial interaction analysis, with special reference to dynamics," Serie Research Memoranda 0010, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. Knudsen, Daniel C., 2000. "Shift-share analysis: further examination of models for the description of economic change," Socio-Economic Planning Sciences, Elsevier, vol. 34(3), pages 177-198, September.
    4. Kingsley E. Haynes & Stewart Fotheringham, 1990. "The Impact of Space on the Application Of Discrete Choice Models," The Review of Regional Studies, Southern Regional Science Association, vol. 20(2), pages 39-49, Spring.

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