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 <datafield tag="088" ind1="" ind2="">
  <subfield code="a">MBI-ETC07</subfield> 
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<datafield tag="909" ind1="C" ind2="0">
<subfield code="p">TRANSP-OR</subfield>
</datafield>
<datafield tag="980" ind1="" ind2="">
<subfield code="a">TALK</subfield>
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 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Fosgerau, Mogens</subfield> 
  </datafield>
 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Bierlaire, Michel</subfield> 
  </datafield>
<datafield tag="245" ind1="" ind2="">
<subfield code="a">
Discrete choice models with multiplicative error terms</subfield>
</datafield>
<datafield tag="260" ind1="" ind2="">
<subfield code="c">2007</subfield>
</datafield>
<datafield tag="711" ind1="2" ind2="">
<subfield code="a">
European Transport Conference</subfield>
<subfield code="c">
Leeuwenhorst, The Netherlands</subfield>
<subfield code="d">October 17, 2007</subfield>
</datafield>
<datafield tag="520" ind1="" ind2="">
<subfield code="a">
The conditional indirect utility of many random utility maximization (RUM) discrete choice models is specified as a sum of an index V depending on observables and an independent random term P. In general, the universe of RUM consistent models is much larger, even fixing some specification of V due to theoretical and practical considerations. In this paper, we explore an alternative RUM model where the summation of V and E is replaced by multiplication. This is consistent with the notion that choice makers may sometimes evaluate relative differences in V between alternatives rather than absolute differences. We develop some properties of this type of model and show that in several cases the change from an additive to a multiplicative formulation, maintaining a specification of V, may lead to a large improvement in fit, sometimes larger than that gained from introducing random coefficients in V. (C) 2008 Elsevier Ltd. All rights reserved.</subfield>
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