A Monte Carlo Study of Tests for the Independence of Irrelevant Alternatives Property

Tim R. L. Fry and Mark N. Harris

No 267413, Department of Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics

Abstract: A plethora of tests for the Independence of Irrelevant Alternatives (IA) property of Logit models of discrete choice behavior has been proposed in the literature. These tests are based upon asymptotic arguments and little is known about their size and power properties in finite samples. This paper uses a Monte Carlo simulation study to investigate the size and power properties of six tests for IIA in the multinomial Logit (MNL) model. Our results show that tests based upon partitioning the choice set appear to have very poor size and power properties in small samples.

Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Pages: 24
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Persistent link: https://EconPapers.repec.org/RePEc:ags:monebs:267413

DOI: 10.22004/ag.econ.267413

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