(Sub) Optimality and (non) optimal satisficing in risky decision experiments

Arianna Galliera, Daniela Di Cagno, Werner Güth, Francesca Marzo, Noemi Pace

Risultato della ricerca: Contributo in rivistaArticolo in rivista

3 Citazioni (Scopus)

Abstract

We implement a risky choice experiment based on one-dimensional choice variables and risk neutrality induced via binary lottery incentives. Each participant confronts many parameter constellations with varying optimal payoffs. We assess (sub)optimality, as well as (non) optimal satisficing by eliciting aspirations in addition to choices. Treatments differ in the probability that a binary random event, which are payoff-but not optimal choice-relevant is experimentally induced and whether participants choose portfolios directly or via satisficing, i.e., by forming aspirations and checking for satisficing before making their choice. By incentivizing aspiration formation, we can test satisficing, and in cases of satisficing, determine whether it is optimal.
Lingua originaleEnglish
pagine (da-a)195-243
Numero di pagine49
RivistaTheory and Decision
Volume83
DOI
Stato di pubblicazionePubblicato - 2017

Keywords

  • (un)Bounded rationality
  • Experiments
  • Risk
  • Satisficing
  • Uncertainty

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