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Best and worst choices

Author

Listed:
  • André de Palma

    (ENS Cachan - École normale supérieure - Cachan)

  • Karim Kilani

    (LIRSA - Laboratoire interdisciplinaire de recherche en sciences de l'action - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

  • Gilbert Laffond

    (LIRSA-CRC - LIRSA. Centre de recherche en comptabilité - LIRSA - Laboratoire interdisciplinaire de recherche en sciences de l'action - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

Abstract

We show that the number of individuals selecting their worst alternatives within a finite set of alternatives can be written as an alternating sum of the number of individuals having their best choice within subset of alternatives. The identities are then applied to random utility models, including the multinomial logit model, the mixed logit model and the disaggregated version of the CES representative consumer model. Finally, we show that better estimates are obtained if respondents are asked to reveal their worst instead of their best choices.

Suggested Citation

  • André de Palma & Karim Kilani & Gilbert Laffond, 2013. "Best and worst choices," Working Papers halshs-00825656, HAL.
  • Handle: RePEc:hal:wpaper:halshs-00825656
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00825656
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    References listed on IDEAS

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    1. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    3. André Palma & Karim Kilani, 2011. "Transition choice probabilities and welfare analysis in additive random utility models," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 46(3), pages 427-454, April.
    4. José Labeaga & Xisco Oliver & Amedeo Spadaro, 2008. "Discrete choice models of labour supply, behavioural microsimulation and the Spanish tax reforms," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(3), pages 247-273, September.
    5. Saul Hoffman & Greg Duncan, 1988. "Multinomial and conditional logit discrete-choice models in demography," Demography, Springer;Population Association of America (PAA), vol. 25(3), pages 415-427, August.
    6. Thisse, Jacques-François & Zhelobodko, Evgeny & Kokovin, Sergey, 2010. "Monopolistic Competition: Beyond the CES," CEPR Discussion Papers 7947, C.E.P.R. Discussion Papers.
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    Cited by:

    1. Matthew J. Beck & John M. Rose & Stephen P. Greaves, 2017. "I can’t believe your attitude: a joint estimation of best worst attitudes and electric vehicle choice," Transportation, Springer, vol. 44(4), pages 753-772, July.
    2. André de Palma & Karim Kilani, 2015. "Ordered choice probabilities in random utility models," Working Papers hal-01130603, HAL.

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    More about this item

    Keywords

    Best-worst; CES; Discrete choice models; Gumbel distribution; Logit; Logsum;
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