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- Julia Rohrer | Not Even Unreplicable
- Daniel Lakens | When It’s OK to Use P-Values
- Ben Newell | Nudges For People Who Think
- Uli Schimmack | Implicit Preferences
- Fiona Fidler & Bonnie Wintle | The repliCATS Project
- Anna Dreber Almenberg | Replications and Predicting Replication Outcomes
- Adam Gorajek & Joel Bank | Star Wars at Central Banks
- Frederik Anseel | Can We Accomplish Both Academic And Practical Impact
- Gilad Chen | Research Methods Seminar
- Gilad Chen | The State Of The OB Science
- Gilad Feldman | Mass Mobilizing For Collaborative Credibility Revolution
- Hazel Bateman | Learning To Value Annuities
- Jonas Fooken | Performance-Based Pay, Motivation, Stress And Preferences
- Will Felps | Can We Make Business Science Better
- John Roberts | A Research Agenda for Studying the Role of Emotions in Choice Models
- Joel Pearson | Future Minds Lab, Who Are We And What Are We Doing
- Lionel Page | The Matthew Effect: How Success Fosters Further Success
- Bob Reed | On Replications, Significance Testing, Confidence Intervals and p-Values
- Elise Payzan-Le Nestour | Neuroeconomics as Neuropragmatism
- Fiona Fidler | Will This Time Be Different
- Eva Vivalt | How Much Can We Generalize From Impact Evaluations?
- Amirali Minbashian | Lessons From Psychology
- Daniel Friedman | Varieties of Risk Elicitation
- Gina Perry | Backstage and Frontstage
- Danielle Navarro | Between the devil and the deep blue sea
- Uwe Dulleck | The Case for Economic Theory
- Chris Donkin | Back to the Drawing Board
- Carsten Murawski | Computational Complexity and Decision-Making
- Will Felps | Solutions to the Credibility Crisis in Business Science
- Joshua Miller | The Hot Hand Fallacy Fallacy
- Mark Rubin | Hypothesising After the Results are Known
- Jeanette Deetlefs | On Recently Completed RCT Interventions
- Chew Soo Hong | A Revolutionary Understanding of How People Make Decisions
- Rachael Meager | Evidence Aggregation in the Presence of Heterogeneity
- Dan Goldstein | Interpretable Artificial Intelligence
- Glenn W. Harrison | Welfare Evaluation of Insurance
- Adam Gorajek | An Introduction to Specification Curves and P-curves
- Renee Adams | The ABCs of Empirical Corporate (Governance) Research
- Vinayak Dixit | Risk Perceptions in Transport
- Michaela Pagel | The Retirement-Consumption Puzzle
- Sarah Walker | Taking the Lab to the Field
- Eva Vivalt | How Do Policymakers Update?
- Gideon Nave | Does Oxytocin Increase Trust in Humans?
- Peter Bossaerts | How Neurobiology Can Inform Decision Science
- Erte Xiao on Competing by Default: A New Way to Break the Glass Ceiling
- Clara Chen on The Effects of Directional Goals
- Taisuke Imai | Meta-Analysis in Behavioral Economics
- Useful links
- Articles
- Members and associates
- Contact
- Home
- About us
- Announcements
-
Events
Past Workshops
- Bob Reed | Social capital and economic growth
- NSW Emerging HR Professionals Network
- 2019 Invitation-Only Workshop
- 2018 Workshop: From Questionable Research Practices to Sound Science
- 2017 Workshop on Research Methods in Social Sciences and Business
- 2016 Workshop on Experimental Research in Social Science and Business
- 2015 BizLab workshop in Experimental Methods
Past Seminars
- Sam Kirshner | Artificial Agents in Operations Management Experiments
- Jack Fitzgerald | The Need for Equivalence Testing in Economics
- Ben Greiner | Reproducibility in Economics and Management
- Florian Artinger | Frequency, Costs, and Remedies of “Cover-Your-Ass” Behaviour in Organisations
- Florian Artinger | BIBaP Luncheon on Psychological AI
- Jack Fitzgerald | Impact of Hypothetical Incentives
- Patrick Vu | Why Are Replication Rates So Low
- Malte Friese | Is Ego Depletion Real? An Analysis of Arguments
- Thomas Pfeiffer | Replication Markets In The Social And Behavioural Sciences
- Chris Donkin | Why Preregistration Is Not Worthwhile
- Bill von Hippel | Discovering Your Own Name On A Wall Of Shame
- Eva Vivalt | Uses of Forecasts in Research
- Bob Reed | Yes You Can Calculate Ex Post Power
- Xueting Wang | Quasi-hyperbolic Present Bias
- Julia Rohrer | Not Even Unreplicable
- Daniel Lakens | When It’s OK to Use P-Values
- Ben Newell | Nudges For People Who Think
- Uli Schimmack | Implicit Preferences
- Fiona Fidler & Bonnie Wintle | The repliCATS Project
- Anna Dreber Almenberg | Replications and Predicting Replication Outcomes
- Adam Gorajek & Joel Bank | Star Wars at Central Banks
- Frederik Anseel | Can We Accomplish Both Academic And Practical Impact
- Gilad Chen | Research Methods Seminar
- Gilad Chen | The State Of The OB Science
- Gilad Feldman | Mass Mobilizing For Collaborative Credibility Revolution
- Hazel Bateman | Learning To Value Annuities
- Jonas Fooken | Performance-Based Pay, Motivation, Stress And Preferences
- Will Felps | Can We Make Business Science Better
- John Roberts | A Research Agenda for Studying the Role of Emotions in Choice Models
- Joel Pearson | Future Minds Lab, Who Are We And What Are We Doing
- Lionel Page | The Matthew Effect: How Success Fosters Further Success
- Bob Reed | On Replications, Significance Testing, Confidence Intervals and p-Values
- Elise Payzan-Le Nestour | Neuroeconomics as Neuropragmatism
- Fiona Fidler | Will This Time Be Different
- Eva Vivalt | How Much Can We Generalize From Impact Evaluations?
- Amirali Minbashian | Lessons From Psychology
- Daniel Friedman | Varieties of Risk Elicitation
- Gina Perry | Backstage and Frontstage
- Danielle Navarro | Between the devil and the deep blue sea
- Uwe Dulleck | The Case for Economic Theory
- Chris Donkin | Back to the Drawing Board
- Carsten Murawski | Computational Complexity and Decision-Making
- Will Felps | Solutions to the Credibility Crisis in Business Science
- Joshua Miller | The Hot Hand Fallacy Fallacy
- Mark Rubin | Hypothesising After the Results are Known
- Jeanette Deetlefs | On Recently Completed RCT Interventions
- Chew Soo Hong | A Revolutionary Understanding of How People Make Decisions
- Rachael Meager | Evidence Aggregation in the Presence of Heterogeneity
- Dan Goldstein | Interpretable Artificial Intelligence
- Glenn W. Harrison | Welfare Evaluation of Insurance
- Adam Gorajek | An Introduction to Specification Curves and P-curves
- Renee Adams | The ABCs of Empirical Corporate (Governance) Research
- Vinayak Dixit | Risk Perceptions in Transport
- Michaela Pagel | The Retirement-Consumption Puzzle
- Sarah Walker | Taking the Lab to the Field
- Eva Vivalt | How Do Policymakers Update?
- Gideon Nave | Does Oxytocin Increase Trust in Humans?
- Peter Bossaerts | How Neurobiology Can Inform Decision Science
- Erte Xiao on Competing by Default: A New Way to Break the Glass Ceiling
- Clara Chen on The Effects of Directional Goals
- Taisuke Imai | Meta-Analysis in Behavioral Economics
- Useful links
- Articles
- Members and associates
- Contact
Chew Soo Hong

14/05/2018 - 12:00 - 13:00
Room 464, UNSW Business School, UNSW
Description
- May 14, 2018
- Speaker: Chew Soo Hong
- Topic: A Revolutionary Understanding of How People Make Decisions
Abstract
Elements of economics, psychology, and biology are converging towards delivering a revolutionary understanding of how people make decisions. Many would credit prospect theory with bringing psychological considerations into the modeling of decision theory under risk in applying the Fechner-Weber law of diminishing sensitivity to both gains and losses. In addition, bringing neurogenetics involving dopamine and serotonin delivers a neurochemical foundation for this loss-gain differentiation in risk attitude. We next focus on a pleiotropic gene, the dopamine receptor D4 (DRD4), important in both individual and social decision making.
Besides being linked to risk attitude, it has been hypothesized as a norm-sensitive gene inducing greater norm adherence, specifically cooperativeness for an Asian population. We discuss new evidence demonstrating a DRD4 x rice culture co-evolution of both traits over the millennia, pointing to a shared underlying trait of efficiency orientation. Finally, we discuss imaging genetics evidence linking the inhibitory neurotransmitter (GABA (gamma-aminobutyric acid), underpinning anxiety and fear regulation, to the phenomenon of familiarity bias in financial decision making.
About the speaker
Chew Soo Hong is professor and provost’s chair at the National University of Singapore (NUS). He received his Ph.D. in interdisciplinary studies from the University of British Columbia and has previously taught at the Hong Kong University of Science and Technology, University of California, Irvine, Johns Hopkins University and University of Arizona. Chew is co-director of NUS’ lab for Behavioral x Biological Economics and the Social Sciences which aims to bring together genomics, neuroscience, decision theory, and behavioural and experimental economics to seek a deeper understanding of decision making. He is among the pioneers in axiomatic non-expected utility models and is a fellow of the Econometric Society which awarded him the Leonard J. Savage thesis prize.
Chew has published in well-regarded journals in economics such as Econometrica, Review of Economic Studies, Journal of Economic Theory as well as biology-oriented ones including PNAS, PRSB, Neuron, and Neuroimage.