Choice Determinants of a Smart Contract vs. Ambiguous Expert-Based Insurance: An Experiment

Giuseppe Attanasi, Marta Ballatore, Michela Chessa, Agnès Festré and Chris Ouangraoua
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Marta Ballatore: GREDEG CNRS
Chris Ouangraoua: GREDEG CNRS

No 2021-41, GREDEG Working Papers from Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France

Abstract: This study proposes an analysis of behavioral factors (attitudes toward risk, ambiguity and reduction of compound lotteries) as choice determinants of a blockchain-based car insurance smart contract (henceforth, BCT-based SC) vs. an ambiguous expert-based one. In a laboratory experiment, we develop a toy model representing such a choice and complement it with a questionnaire in order to collect data concerning participants’ demographics, personality traits, and car use experience. Our results can inform policies aimed at improving the understanding of BCT-based SC in the case of car insurance services. In particular, they advocate for designing ad hoc policies depending on user’s experience with cars.

Keywords: Laboratory experiments; Blockchain; Smart contracts; Technology adoption; Risk; Ambiguity; Compound lottery (search for similar items in EconPapers)
JEL-codes: C81 C83 C91 D81 D91 (search for similar items in EconPapers)
Pages: 49 pages
Date: 2021-12
New Economics Papers: this item is included in nep-cbe, nep-cta, nep-dcm, nep-exp, nep-ias, nep-pay and nep-upt
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Persistent link: https://EconPapers.repec.org/RePEc:gre:wpaper:2021-41

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