Steven Y. Wu
Social Sciences · Purdue University West Lafayette
Publications
125
Citations
816
Est. group size
~1
Recurring co-author estimate
Active years
39
Publishing since 1988
Steven Y. Wu's identifiable body of work centers on experimental and applied economics, particularly how pricing rules, taxes (such as soda taxes), and contract structures affect behavior, tested through laboratory experiments and field data in agricultural and consumer contexts. Note that the publication list attached to this name appears to mix in unrelated work from other fields (e.g., machine learning, physiology education, wireless power engineering), suggesting possible name overlap with other researchers rather than a single coherent research program. Prospective students should verify direct authorship and current research focus before assuming these represent one person's full body of work.
Publication counts have been relatively steady but modest over the past decade, generally ranging from 3 to 6 per year with a slight decline toward the more recent years (5-year average of about 3.2 per year).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Previous experience in select biological science courses confers performance advantages for students in an upper-level Human Physiology course
Physiology · 2026
- Direct Indexing with Factors—How to Balance Tilts against Tax Deferral
The Journal of Beta Investment Strategies · 2025
- Soda taxes versus cup sizes when the retailer practices nonlinear pricing: An experiment
Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2025
- Predicting Language Models' Success at Zero-Shot Probabilistic Prediction
arXiv (Cornell University) · 2025
- Predicting Language Models’ Success at Zero-Shot Probabilistic Prediction
2025
- Oracle-Efficient Differentially Private Learning with Public Data
arXiv (Cornell University) · 2024
- Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification
arXiv (Cornell University) · 2024
- Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
arXiv (Cornell University) · 2024
- Biocompatibility and Biological Effects of Surface-Modified Conjugated Polymer Nanoparticles
Molecules · 2023
- Taxing <scp>sugar‐sweetened</scp> beverages: A nonlinear pricing approach
American Journal of Agricultural Economics · 2023
- How does a change in outside options affect relational contracting outcomes? Experimental evidence and implications for agricultural contracting
Journal of the Agricultural and Applied Economics Association · 2023
- The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
arXiv (Cornell University) · 2022
- Enhanced System Level Channel Characterization Methodology with Seamless Correlation among Hardware, Signal Integrity and Electrical Validation for Design Robustness
2022
- A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms
arXiv (Cornell University) · 2022
- Nonlinear Pricing Under Regulation: Comparing Cap Rules and Taxes in the Laboratory
2022
- arXiv (Cornell University)×7
- AgEcon Search (University of Minnesota, USA)×4
- American Journal of Agricultural Economics×2
- Experimental Economics×2
- RePEc: Research Papers in Economics×2
- Paul J. Healy
Social Sciences · The Ohio State University
- John H. Kagel
Social Sciences · The Ohio State University
- Timothy N. Cason
Social Sciences · Purdue University West Lafayette
- Rick Harbaugh
Social Sciences · Indiana University
- John Morgan
Social Sciences · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile