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1995•American Journal of Agricultural EconomicsRequires access

Measuring Goodness of Fit for the Double‐Bounded Logit Model

Barbara Kanninen, M. Sami Khawaja

Open publisher page 53 citations

Abstract

Abstract The traditional approaches of measuring goodness of fit are shown to be inappropriate in the case of the double‐bounded logit model. An alternate approach called the “sequential classification procedure” is presented as a possible alternative to the standard tests. The double‐bounded logit model is reviewed along with the standard goodness‐of‐fit measures. The sequential classification procedure and its features are presented in the context of an empirical example.

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What this paper is about

Abstract The traditional approaches of measuring goodness of fit are shown to be inappropriate in the case of the double‐bounded logit model. An alternate approach called the “sequential classification procedure” is presented as a possible alternative to the standard tests. The double‐bounded logit model is reviewed along with the standard goodness‐of‐fit measures. The sequential classification procedure and its features are presented in the context of an empirical example.

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OpenAlex reports 53 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Abstract The traditional approaches of measuring goodness of fit are shown to be inappropriate in the case of the double‐bounded logit model. An alternate approach called the “sequential classification procedure” is presented as a possible alternative to the standard tests. The double‐bounded logit model is reviewed along with the standard goodness‐of‐fit measures. The sequential classification procedure and its features are presented in the context of an empirical example.

Key concepts: Goodness of fit, Logit, Bounded function, Logistic regression, Econometrics, Context (archaeology), Mixed logit, Mathematics

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