Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/66833
Authors: 
Fosgerau, Mogens
Year of Publication: 
2008
Citation: 
[Journal:] Journal of Choice Modelling [ISSN:] 1755-5345 [Volume:] 1 [Year:] 2008 [Issue:] 1 [Pages:] 26-39
Abstract: 
Model misspecification is a serious issue since misspecification generally renders statistical inference invalid. However, specification testing of discrete choice models is rarely applied. This paper describes a nonparametric test procedure which uses a combination of smoothed residual plots and a test statistic able to detect general misspecification. Nonparametric methods require large datasets when the number of independent variables is more than a few. A way to circumvent this problem is indicated, increasing the usefulness of the approach also with limited datasets.
Subjects: 
discrete choice
specification test
nonparametric
functional form
Creative Commons License: 
http://creativecommons.org/licenses/by-nc/2.0/uk/
Document Type: 
Article
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