Financial_choices_and_advice_v1

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Authors: Ireko Zamilov
Cited by: 0

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