Financial_choices_and_advice_v1

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Authors: Ireko Zamilov
Cited by: 0

Abstract

This is an update to the first registration. For some reason, if I click "Update" on the first registration, it does not allow me to upload files. Data collection has not yet begun. This update refines the statistical analysis plan and aligns preregistered prompts with the final programmed versions, based on feedback received during pre-data-collection review. All changes were made before any participant was exposed to the study materials. Description: 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

Journal / source
Open Science Framework
Publication date
1 January 2026