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(Sub) Optimality and (Non) Optimal Satisficing in Risky Decision Experiments

Daniela Di Cagno (), Werner Gürth (), Noemi Pace (), Arianna Galliera () and Francesca Marzo
Additional contact information
Werner Gürth: LUISS, Rome; Max Planck Institute for Research on Collective Goods, Bonn
Francesca Marzo: LUISS, Rome

Authors registered in the RePEc Author Service: Werner Güth ()

No 2016:22, Working Papers from Department of Economics, University of Venice "Ca' Foscari"

Abstract: A risky choice experiment is 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, partly 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.

Keywords: (un)Bounded Rationality; Satisficing; Risk; Uncertainty; Experiments (search for similar items in EconPapers)
JEL-codes: D03 D81 C91 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cbe, nep-exp, nep-sog and nep-upt
Date: 2016
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Related works:
Journal Article: (Sub) Optimality and (non) optimal satisficing in risky decision experiments (2017) Downloads
Working Paper: (Sub) Optimality and (Non) Optimal Satisficing in Risky Decision Experiments (2016) Downloads
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