---
title: Impact of Personality Traits on Private Pension Participation
url: https://www.ml-quant.com/papers/repec/ist-journl-v-73-y-2024-i-1-p-281-314/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:ist:journl:v:73:y:2024:i:1:p:281-314
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fcdn.istanbul.edu.tr%2Ffile%2FJTA6CLJ8T5%2FD71F279BFEE4480BBC46A21083195F7E%3Bh%3Drepec%3Aist%3Ajournl%3Av%3A73%3Ay%3A2024%3Ai%3A1%3Ap%3A281-314
featured: 2024-08-15
citations: unknown
topic: ML & AI Methods
---


# Impact of Personality Traits on Private Pension Participation

The study uses machine learning to examine the influence of personality traits and financial literacy on Private Pension System participation, highlighting significant factors like gender, age, and financial literacy.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fcdn.istanbul.edu.tr%2Ffile%2FJTA6CLJ8T5%2FD71F279BFEE4480BBC46A21083195F7E%3Bh%3Drepec%3Aist%3Ajournl%3Av%3A73%3Ay%3A2024%3Ai%3A1%3Ap%3A281-314
- Identifier: RePEc:ist:journl:v:73:y:2024:i:1:p:281-314
- Released: 2024-08-15
- First featured: Quant Letter No. 61 (2024-08-15): https://www.ml-quant.com/issues/2024-08-15/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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