Financial_choices_and_advice_v1
Abstract
This lab experiment tests whether access to a GPT-based AI advisor affects behavioral biases in financial decisions. Participants are randomly assigned to GPT (AI chat available) or NO_GPT (no AI) conditions and complete tasks measuring 16 cognitive biases (e.g., loss aversion, framing effect, anchoring, sunk cost fallacy). Research Question: Does GPT assistance reduce or amplify biases? Hypothesis: Non-directional — we test whether behavior differs between groups without predicting direction. Primary Analysis: Compare GPT vs NO_GPT responses for each bias using chi-square, t-tests, ANOVA, and logistic regression as appropriate. Ethics: LBS REC1085
Fields of Study & Subjects
Decision-Making and Behavioral Economics
Financial Literacy
Pension
Retirement Analysis
Financial Markets and Investment Strategies
Publication details
- Publication date
- 1 January 2026
- Document type
- Preprint