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// behavioural & experimental economics
Lingguo (Lin) Xu
Postdoctoral Fellow · Behavioural Economist
Department of Psychology, University of Waterloo
Anticipatory Utility
Intertemporal Choice
Demand for Information
Gender Economics
Lab & Online Experiments
Latest
News & Updates
-
2025
New role
Started Postdoctoral Fellowship at the Department of Psychology, University of Waterloo, working with Sam Johnson.
-
2026
R&R
"Gender and the Demand for Comparative Information" (with Erkal & Koh) — revise and resubmit at the Journal of Experimental Economics.
Interests
Research Areas
Anticipatory Utility
Intertemporal Choice
Demand for Information
Social Comparison
Decision Making Under Uncertainty
Fear, Stress & Anxiety
Lab & Online Experiments
oTree & Prolific
Gender Differences in Economics
I use lab and online experiments to study how utility from anticipation (like dread and savouring) shapes economic decision-making.
Research
Working Papers & Projects
Job Market Paper · Submitted
Anticipatory Utility as a Buffer Against Consumption Delays
Lingguo Xu
PDF
Abstract ↓
Presented: ESA Asia-Pacific 2024 · WEAI 2023 · ANZWEE
This paper examines anticipatory utility and its impact on delayed consumption. Conventional economic models typically assume that utility is experienced only at the moment of consumption, but certain experiences can evoke strong anticipatory feelings that shape utility well before the event occurs. Using a laboratory experiment, we investigate how exogenously imposed delays influence individuals' valuation of a "utility event" and whether utility derived from anticipation moderates this effect. Participants engage in a gold mining game, waiting for a gold nugget to be revealed, and are randomly assigned to either a delay or no-delay treatment. Anticipation is measured primarily through participants' willingness to pay for early information, with additional measures — the frequency of checking the mining status and self-reported excitement levels — as robustness checks. The results show that delays generally reduce the valuation of the gold nugget, but this effect is concentrated among low-anticipation individuals. High-anticipation participants exhibit little to no change in valuation, suggesting that anticipatory utility buffers against the negative effects of delays.
R&R · Journal of Experimental Economics
Gender and the Demand for Comparative Information
with Nisvan Erkal and Boon Han Koh
PDF
Abstract ↓
ACE 2024 · ESA Asia-Pacific 2024 · AGEW 2024 · WEAI 2023
Self-assessment is important for decision making in education and career choice. An important source of information in self-assessment is social comparison. While some individuals may use this type of information to learn about their comparative advantage and set goals for the future, others may avoid any such information altogether to preserve their ego and self-esteem. In this paper, we evaluate whether men and women differ in their demand for social comparison information in two different environments — where such information may either have or not have instrumental value. When comparative information is non-instrumental, we find that women, especially those who believe themselves to be average performers, avoid upward comparative information. In contrast, when faced with the prospect of doing the task again, women are more likely to seek upward comparative information than men, driven by those who believe themselves to be average performers.
Works in Progress
Work in Progress · Data collection
Anticipatory Emotions and Loss Aversion in Health Decisions
Work in Progress · Data collection
Product Delays and Consumer Reaction
Work in Progress · Data collection
Differences in Perceptions of Loss Aversion Across Languages
Work in Progress · Experimental design
CIDER: A New Way of Experiment
Academic Background
Education
2020 – 2025
Ph.D. Economics
University of Melbourne
Advisors: Nisvan Erkal · Boon Han Koh · Tom Wilkening
2016 – 2018
M.A. Economics
University of Queensland
2011 – 2015
B.S. Chemical Engineering
Northeast Forestry University
Experience
Work
2025 – present
Postdoctoral Fellow
Department of Psychology, University of Waterloo
Working with Sam Johnson on anticipatory utility and judgment & decision-making. Designing experiments building on the gold-mining and AIT paradigms from the JMP.
2020 – 2025
PhD Researcher & Tutor
Department of Economics, University of Melbourne
Designed and programmed online experiments in oTree; ran studies on Prolific with UK and Australian participant pools. Tutor (teaching associate at UoM) for Behavioural Economics, Microeconometrics, and Quantitative Methods — tutorial/TA role, not lecturer.
2020 – 2024
Research Assistant
University of Melbourne
RA for Nisvan Erkal, Siqi Pan, Jenny Williams, Lisa Cameron, Maria Recalde, Nico Neumann, and Tom Wilkening. Responsibilities ranged from oTree programming and lab assistance to data analysis using statistical learning and web scraping (700+ total RA hours).
2017 – 2018
Tutor (Teaching Assistant)
School of Economics, University of Queensland
Tutored econometrics, mathematical methods, and benefit-cost analysis across 10 semester-units. Received the Distinguished Teaching Award twice.
Pedagogy
Teaching
4.7 / 5.0
Overall teaching evaluation (both institutions)
Award ×2
Distinguished Teaching Award, UQ 2017 & 2018
Evaluation PDF →
University of Melbourne · Tutor · 2021–2024
| Course | Level | Semesters |
| Behavioural Economics | Undergraduate | 3 |
| Microeconometrics | Graduate | 1 |
| Quantitative Methods 1 | Undergraduate | 1 |
University of Queensland · Tutor · 2017–2018
| Course | Level | Semesters |
| Elements of Econometrics | Undergraduate | 4 |
| Applied Econometrics for Macroeconomics | Undergraduate | 2 |
| Applied Econometrics for Microeconomics | Undergraduate | 2 |
| Mathematical Techniques for Economics | Undergraduate | 1 |
| Benefit-Cost Analysis for Business | Undergraduate | 1 |
Technical
Skills
Experiment Design
- oTree (Python)
- Lab experiments
- Online (Prolific)
- Qualtrics
Programming
- Python
- R
- Stata
- HTML / CSS / JS
Analysis
- Structural estimation
- Econometrics
- Statistical learning
- Web scraping
Tooling
- LaTeX
- Git / GitHub
- Markdown