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Estimating discrete choice experiments : theoretical fundamentals

Author

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  • Benoit Chèze

    (IFPEN - IFP Energies nouvelles, EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Charles Collet

    (CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École des Ponts ParisTech - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique)

  • Anthony Paris

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique, LEO - Laboratoire d'Économie d'Orleans - UO - Université d'Orléans - UT - Université de Tours)

Abstract

This working paper overviews theoretical foundations and estimators derived from econometric models used to analyze stated choices proposed in Discrete Choice Experiment (DCE)surveys. Discrete Choice Modelling is adapted to the case where the variable to be explained is a qualitative variable which cannot be ranked in relation to each other. A situation which occurs in many cases in everyday life as people often have to choose only one alternative among a proposed set of different ones in many fields (early in the morning, just think about how you pick clothes for instance). DCE is a Stated Preference method in which preferences are elicited through repeated fictional choices, proposed to a sample of respondents. Compared to Revealed Preference methods, DCEs allow for an ex ante evaluation of public policies that do not yet exists.

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  • Benoit Chèze & Charles Collet & Anthony Paris, 2021. "Estimating discrete choice experiments : theoretical fundamentals," Working Papers hal-03262187, HAL.
    • Handle: RePEc:hal:wpaper:hal-03262187
    Note: View the original document on HAL open archive server: https://ifp.hal.science/hal-03262187
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    References listed on IDEAS

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    Keywords

    Revealed preference theory; Stated Preference / Stated Choice methods; Discrete Choice Modelling; Discrete Choice Experiment;
    All these keywords.

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