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dc.contributor.authorMurphy, Anthony
dc.date.accessioned2012-08-31T13:46:52Z
dc.date.available2012-08-31T13:46:52Z
dc.date.issued1994
dc.identifier.citationMurphy, Anthony. 'Artificial regression based mis-specification tests for discrete choice models'. - Economic & Social Review, Vol. 26, No. 1, October, 1994, pp. 69-74, Dublin: Economic & Social Research Institute
dc.identifier.issn0012-9984
dc.identifier.urihttp://hdl.handle.net/2262/64813
dc.description.abstractLagrange Multiplier (LM) tests for omitted variables, neglected heteroscedasticity and other mis-specifications in general discrete choice models may be simply and conveniently calculated using an artificial regression. This artificial regression approach is likely to have better small sample properties than the more common outer product gradient (OPG) form of LM test.en
dc.language.isoen
dc.publisherEconomic & Social Studies
dc.sourceEconomic & Social Reviewen
dc.subjectArtifical regressionsen
dc.subjectDiscrete choice modelsen
dc.subjectStatistical methodsen
dc.titleArtificial regression based mis-specification tests for discrete choice models
dc.typeJournal Article
dc.publisher.placeDublinen


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