Abstract Probabilistic choice models, such as logit and probit models, are highly sensitive to a variety of specification errors, including the use of incorrect functional forms for the systematic component of the utility function, incorrect specification of the probability distribution of the random component of the utility function, and incorrect specification of the choice set. Specification errors can cause large forecasting errors, so it is of considerable importance to have means of testing for the presence of these errors. A number of tests based on the likelihood ratio statistic have been developed. These tests and available information on their power are summarized in this paper. The likelihood ratio test can entail considerable computational diffuculty, owing to the need to evaluate the likelihood function for both the null and alternative hypotheses. Substantial gains in computational efficiency can be achieved through the use of a test that requires evaluating the likelihood function only for the null hypothesis. A Lagrangian multiplier test that has this property is described, and numerical examples of its computational properties are given. An important disadvantage of conventional specification tests is that they do not permit comparisons of models that belong to different parametric families in order to determine which model best explains the available data. Thus, these tests cannot be used to compare models whose utility functions have substantially different functional forms or models that are based on different behavioral paradigms. Several methods for dealing with this problem, including the construction of hybrid models and the Cox test of separate families of hypotheses, are described.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Specification tests for probabilistic choice models


    Contributors:

    Published in:

    Publication date :

    1982-01-01


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Comparison of Fully Probabilistic and Partially Probabilistic Choice Set Models for Mode Choice

    Kunhikrishnan, Parthan / Srinivasan, Karthik K. | Transportation Research Record | 2022


    Symmetry, aggregation, and the practical specification of travel choice models

    Batley, R. / Ibanez, J.N. / Association for European Transport | British Library Conference Proceedings | 2009


    SYSTEMATIC CHOICE OF VEHICLE SPECIFICATION

    CURBO MIKAEL / WÄNGDAHL JOHAN / DAHLBERG ERIK | European Patent Office | 2016

    Free access

    SYSTEMATIC CHOICE OF VEHICLE SPECIFICATION

    European Patent Office | 2017

    Free access

    SYSTEMATIC CHOICE OF VEHICLE SPECIFICATION

    CURBO MIKAEL / WAENGDAHL JOHAN / DAHLBERG ERIK | European Patent Office | 2015

    Free access