Trading Returns for Privacy: Experimental Evidence from Financial Data Leaks

This paper provides benchmark experimental evidence on how individuals trade off financial performance against the risk of disclosing their own financial information when privacy risks are explicit, and outcomes are immediate. In a laboratory investment task with repeated decisions, participants choose between two risky options that differ in expected return and in an explicitly stated probability that choosing one option triggers a pseudonymous disclosure of a limited subset of their pre-elicited financial information to other participants. Participants respond systematically to both return spreads and leak probabilities, but choices are substantially more elastic to financial incentives than to changes in leak risk. In dynamic analyses, experiencing an own leak has modest and short-lived effects, whereas higher leakage among other participants is followed by a lower propensity to select the privacy-risky option. Standard measures of risk and loss aversion and most economic characteristics explain little of the heterogeneity in choices, while context-relevant privacy attitudes are associated with more privacy-protective behavior. Overall, in this transparent-probability benchmark environment, monetary incentives dominate leak risk on average, while social information about others' leaks meaningfully shapes behavior.

Authors

Institutions

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2026-02-11
DOI
https://doi.org/10.5281/zenodo.18611147
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trading Returns for Privacy: Experimental Evidence from Financial Data Leaks

Mehdi Louafi
SPIRE - Sciences Po Institutional REpository
Auditing, Earnings Management, Governance
article

Trading Returns for Privacy: Experimental Evidence from Financial Data Leaks

Mehdi Louafi
article en

Abstract

This paper provides benchmark experimental evidence on how individuals trade off financial performance against the risk of disclosing their own financial information when privacy risks are explicit, and outcomes are immediate. In a laboratory investment task with repeated decisions, participants choose between two risky options that differ in expected return and in an explicitly stated probability that choosing one option triggers a pseudonymous disclosure of a limited subset of their pre-elicited financial information to other participants. Participants respond systematically to both return spreads and leak probabilities, but choices are substantially more elastic to financial incentives than to changes in leak risk. In dynamic analyses, experiencing an own leak has modest and short-lived effects, whereas higher leakage among other participants is followed by a lower propensity to select the privacy-risky option. Standard measures of risk and loss aversion and most economic characteristics explain little of the heterogeneity in choices, while context-relevant privacy attitudes are associated with more privacy-protective behavior. Overall, in this transparent-probability benchmark environment, monetary incentives dominate leak risk on average, while social information about others' leaks meaningfully shapes behavior.

SPIRE - Sciences Po Institutional REpository
Laboratoire d’Économie d’Orléans (FR)
Openalex Percentile: Top 59%
Auditing, Earnings Management, Governance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Trading Returns for Privacy: Experimental Evidence from Financial Data Leaks — Mehdi Louafi · SPIRE - Sciences Po Institutional REpository (2026) | TGRS Research Map | TGRS