RePub Home contact us print submit my work rss2 feedatom

EUR Repository

economics_mananagement
medicine_health
law_culture_society
back to search results
Deal or No Deal? Decision Making under Risk in a Large-Stake TV Game Show and Related Experiments
Author(s):

Assem, M.J. van den

Date (Issued):

2008-10-16

Assets:
EPS2008138F%26A9058921734vandenAssem.pdf
EPS2008138F%26A9058921734vandenAssem.jpg
Keywords:

decision making under risk, risky choice, expected utility theory, prospect theory, risk aversion, framing, game show, deal or no deal, field experiment, natural experiment, laboratory experiment, incentive systems

Abstract:

The central theme of this dissertation is the analysis of risky choice. The first two chapters analyze the choice behavior of contestants in a TV game show named “Deal or No Deal” (DOND). DOND provides a unique opportunity to study risk behavior, because it is characterized by very large and wide-ranging stakes, by a simple probability distribution, and by stop-go decisions that require minimal skill or strategy. The first chapter analyzes individual editions from different countries. The results are hard to reconcile with expected utility theory and point to reference-dependent alternatives such as prospect theory. The choices of contestants can be explained in large part by previous outcomes experienced during the game. Risk aversion decreases after earlier expectations have been shattered by unfavorable outcomes or surpassed by favorable outcomes. The second chapter compares across editions. Risky choice turns out to be highly sensitive to the context, as defined by the initial prizes in the game. Even though the initial stakes of the various editions are widely different, contestants respond in a similar way to the stakes relative to their initial level. The third chapter of this thesis analyzes random task incentive systems (RTISs), using experiments that mimic DOND. RTISs are commonly applied in risky choice experiments to implement real incentives, especially when research budgets are limited and to avoid income effects. We find that caution is warranted when applying RTISs.

Sponsorship:

Erasmus University Rotterdam (EUR) Erasmus School of Economics (ESE) Prof.dr. D.J.C. van Dijk Dr. N.L. van der Sar Prof.dr. P.P. Wakker

Publisher(s):

Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam (ERIM is the joint researchinstitute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam)

ISBN:

9058921734

ISSN:

1566-5283


Persistent identifier to cite or link to:
http://hdl.handle.net/1765/13566