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What if My Model Assumptions are Wrong? The Impact of Non-standard Behaviour on Choice Model Estimation


  • John M. Rose
  • Stephane Hess
  • Andrew T. Collins


Many econometric models exist that may be used to analyse choice data. These, however, are all based on specific assumptions made by the analyst in relation to how individual respondents make their choices. In practice, though, it may be difficult to satisfy these assumptions. Accepting that some respondents may exhibit alternative behaviour, the question becomes what impact 'non-conformist' behaviour may have on estimated models. The present paper presents an in-depth analysis using simulated data to study the impact of such behaviour on model estimates. © 2013 LSE and the University of Bath

Suggested Citation

  • John M. Rose & Stephane Hess & Andrew T. Collins, 2013. "What if My Model Assumptions are Wrong? The Impact of Non-standard Behaviour on Choice Model Estimation," Journal of Transport Economics and Policy, University of Bath, vol. 47(2), pages 245-263, May.
  • Handle: RePEc:tpe:jtecpo:v:47:y:2013:i:2:p:245-263

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    Cited by:

    1. Bliemer, Michiel C.J. & Rose, John M. & Chorus, Caspar G., 2017. "Detecting dominance in stated choice data and accounting for dominance-based scale differences in logit models," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 83-104.
    2. Contu, Davide & Strazzera, Elisabetta, 2022. "Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy," Journal of choice modelling, Elsevier, vol. 44(C).

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