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An Alternative Method for Assessing Goodness-of-Fit for Logit Models

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  • C M Costanzo
  • W C Halperin
  • N D Gale
  • G D Richardson

Abstract

An inference strategy is presented to assess the goodness-of-fit for logit models. The conventional approach has emphasized likelihood ratio tests in which a distribution for the test statistic is assumed. A more recent development, the prediction success table, is based upon a ratio of predicted to observed choice patterns, yet it is primarily a descriptive index not placed within the context of an inference strategy/hypothesis-testing framework. An alternative method is put forward which uses residuals. Although problematic in a parametric context, residuals can be used in an approach which incorporates both a nonparametric randomization procedure and a sample reuse design. A test statistic is defined and compared to a reference distribution created under the assumption of random variation in the responses with variation in the explanatory variable(s). A numerical example is carried out to investigate the efficacy of using this approach.

Suggested Citation

  • C M Costanzo & W C Halperin & N D Gale & G D Richardson, 1982. "An Alternative Method for Assessing Goodness-of-Fit for Logit Models," Environment and Planning A, , vol. 14(7), pages 963-971, July.
  • Handle: RePEc:sae:envira:v:14:y:1982:i:7:p:963-971
    DOI: 10.1068/a140963
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    References listed on IDEAS

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    1. Recker, Wilfred W. & Golob, Thomas F., 1979. "A non-compensatory model of transportation behavior based on sequential consideration of attributes," Transportation Research Part B: Methodological, Elsevier, vol. 13(4), pages 269-280, December.
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    Cited by:

    1. Meyerding, Stephan G.H. & Bauchrowitz, Alexander & Lehberger, Mira, 2019. "Consumer preferences for beer attributes in Germany: A conjoint and latent class approach," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 229-240.
    2. Profeta, Adriano, 2008. "Interactions between Country-of-Origin, Brands and Food-Safety-Certificates in the Promotion of Beef in Germany – What is the Right Labelling Strategy? – A Consumer Preference Analysis on the Basis of," MPRA Paper 20543, University Library of Munich, Germany.

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