Table of Contents

‘Nudging’ Risky Decision-Making: The Causal Influence of Information Order

Jason Anthony Aimone, Baylor University - Department of Economics
Sheryl B. Ball, Virginia Polytechnic Institute & State University - Department of Economics
Brooks King-Casas, Virginia Polytechnic Institute & State University - Virginia Tech Carilion Research Institute


NEUROECONOMICS eJOURNAL

"‘Nudging’ Risky Decision-Making: The Causal Influence of Information Order" Free Download

JASON ANTHONY AIMONE, Baylor University - Department of Economics
Email:
SHERYL B. BALL, Virginia Polytechnic Institute & State University - Department of Economics
Email:
BROOKS KING-CASAS, Virginia Polytechnic Institute & State University - Virginia Tech Carilion Research Institute
Email:

Recent studies have suggested that there may be a correlation between the order in which decision-makers collect information about risky gambles and their tendency to make expected value maximizing decisions. In this work we present results from an experiment designed to establish causality by exogenously manipulating the order in which participants view information about probabilities and payoffs. We find that there is a relationship between information presentation and the amount of risk participants take. This suggests that the choice architecture for real world risky decision making may have both intended and unintended consequences.

^top

About this eJournal

This eJournal distributes working and accepted paper abstracts focused on research where economic outcomes are the product of many individual decisions, constrained by scarcity, and equilibrium forces that simultaneously shape a person's social networks and the institutionally defined rules of the game. Decisions are made by computations in the brain which produce action-choices that directly affect the homeostatic wellbeing of the individual and choices that indirectly change wellbeing by changing an individual's future constraints, the scope of their social networks, and their message sending rights within the institutions they participate. Neuroeconomics broadly speaking is interested in the study of these computations and the resulting choices they produce. This includes experiments that attempt to understand the mechanisms of neuronal computations that produce action-choices, theories which predict how neuronal computations in socio-economic environments produce decisions, outcomes and wellbeing, and policy which use our understanding of neuoroeconomic behavior to either build or defend better solutions to societal problems.

Editors: Michael C. Jensen, Harvard University, and Kevin A. McCabe, George Mason University

Submissions

To submit your research to SSRN, sign in to the SSRN User HeadQuarters, click the My Papers link on left menu and then the Start New Submission button at top of page.

Distribution Services

If your organization is interested in increasing readership for its research by starting a Research Paper Series, or sponsoring a Subject Matter eJournal, please email: RPS@SSRN.com

Distributed by

Economics Research Network (ERN), a division of Social Science Electronic Publishing (SSEP) and Social Science Research Network (SSRN)

Directors

ERN SUBJECT MATTER EJOURNALS

MICHAEL C. JENSEN
Social Science Electronic Publishing (SSEP), Inc., Harvard Business School, National Bureau of Economic Research (NBER), European Corporate Governance Institute (ECGI)
Email: michael_jensen@ssrn.com

Please contact us at the above addresses with your comments, questions or suggestions for ERN-Sub.

Advisory Board

Neuroeconomics eJournal

ANDREW W. LO
Harris & Harris Group Professor, Massachusetts Institute of Technology (MIT) - Sloan School of Management, National Bureau of Economic Research (NBER)

P. READ MONTAGUE
Professor, Baylor University - Department of Neuroscience

VERNON L. SMITH
Professor of Economics and Law, Chapman University - Economic Science Institute, Chapman University School of Law