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Past Seminars
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- Xueting Wang | Quasi-hyperbolic Present Bias
- Julia Rohrer | Not Even Unreplicable
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- Uli Schimmack | Implicit Preferences
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- 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
Xueting Wang | Quasi-hyperbolic present bias

13/07/2021 - 12:00 - 13:00
Zoom meeting (online only)
Description
- July 13, 2021
- Speaker: Xueting Wang
- Topic: Quasi-hyperbolic Present Bias: A Meta-analysis
Abstract
Quasi-hyperbolic discounting is one of the most well-known and widely-used models to capture self-control problems in economics. The underlying assumption of the model is that agents have a “present bias” toward current consumption such that all future rewards are downweighed relative to rewards in the present (in addition to standard exponential discounting for the length of delay). We report a meta-analytic dataset of estimates of the present bias parameter ß based on searches of all major research databases (62 papers with 81 estimates in total). We find that the literature shows that people are on average present biased towards money (ß = 0.82, 95% confidence interval of [0.74, 0.90], but that substantial heterogeneity across studies exists.
The source of this heterogeneity comes from the subject pool, elicitation methodology, geographical location, payment method, and mode of data collection (laboratory versus. field). The reward type also has an influence on the estimated present bias: individuals show stronger present bias towards real effort and health outcomes compared to monetary rewards (ß = 0.66, 95% confidence interval of [0.51, 0.85]). There is evidence of selective reporting and publication bias in the direction of overestimating the strength of present-bias (i.e. making ß estimates smaller), but present bias still exists after correcting for these issues (the corrected ß = 0.84 with 95% confidence interval of [0.77, 0.92]for money, and 0.72 with 95% confidence interval of [0.49, 0.94] for non-monetary rewards).
About the speaker
Xueting Wang is a PhD student at The University of Sydney funded by a scholarship from the ARC Life Course Centre of Excellence. She is also a Postgraduate Teaching Fellow at The University of Sydney. Her research goal is to discover and describe the mechanisms that govern human decision-making.