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A Graphical Method for the Interpretation of Multinomial Logit Analysis

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  • J. SCOTT LONG

    (Washington State University)

Abstract

Multinomial logit analysis is a statistical technique for relating a set of continuous or discrete independent variables to a categorical dependent variable. The availability of statistical software and the publication of review articles dealing with logit analysis has resulted in increasing applications of the model. These applications have been limited by a failure to deal adequately with the magnitudes of the parameters, restricting discussion almost entirely to the direction of effects and their statistical significance. This limitation is a consequence of the large number of parameters involved and the nonlinearity of the effects. To deal with this problem, a graphical method is proposed to represent the magnitudes and statistical significance of all effects in a multinomial logit analysis. This allows for a clear interpretation of the relative magnitudes of effects both within and across independent variables. The article concludes with an example to illustrate the technique.

Suggested Citation

  • J. Scott Long, 1987. "A Graphical Method for the Interpretation of Multinomial Logit Analysis," Sociological Methods & Research, , vol. 15(4), pages 420-446, May.
    • Handle: RePEc:sae:somere:v:15:y:1987:i:4:p:420-446
    DOI: 10.1177/0049124187015004005
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    References listed on IDEAS

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    1. Schmidt, Peter & Strauss, Robert P, 1975. "The Prediction of Occupation Using Multiple Logit Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 16(2), pages 471-486, June.
    2. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
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    Cited by:

    1. Perrels, Adriaan & Weber, Christoph, 2000. "Modelling Impacts of Lifestyle on Energy Demand and Related Emissions," Discussion Papers 228, VATT Institute for Economic Research.
    2. Weber, Christoph & Perrels, Adriaan, 2000. "Modelling lifestyle effects on energy demand and related emissions," Energy Policy, Elsevier, vol. 28(8), pages 549-566, July.
    3. Jan-Jan Soon, 2009. "When do students intend to return? Determinants of students' return intentions using a multinomial logit model," Working Papers 0906, University of Otago, Department of Economics, revised Jun 2009.

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