Estimating discrete choice experiments: theoretical fundamentals

Benoît Chèze, Charles Collet and Anthony Paris
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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 nationale des ponts et chaussées - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique

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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.

Keywords: Revealed preference theory; Stated Preference / Stated Choice methods; Discrete Choice Modelling; Discrete Choice Experiment (search for similar items in EconPapers)
Date: 2021-04-12
New Economics Papers: this item is included in nep-dcm and nep-upt
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Working Paper: Estimating discrete choice experiments: theoretical fundamentals (2021)
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