JOURNAL ARTICLE
Financial Education Factors and Retirement Plan Participation.
Published In: Journal of Financial Counseling & Planning, 2026, v. 37, n. 1. P. 136 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ahmmed, Ferdous; Kalenkoski, Charlene Marie; Browning, Christopher M. 3 of 3
Abstract
Using data from the 2018 National Financial Capability Study, this article examines the association between financial education and employees' participation in their employers' retirement plans. Four different measures of financial education are considered: (a) participation in financial education, (b) the source of financial education, (c) hours spent in financial education, and (d) the perceived quality of any financial education received. The results show that individuals who have participated in financial education are more likely to participate in an employer-sponsored retirement plan than those who do not. The results also indicate that individuals who received financial education from college only, employer only, or from all three sources (high school, college, and employer) have a higher probability of having an employer-sponsored retirement plan than those without financial education. The subanalysis results show that there is no association between total hours of financial education received and employer-sponsored plan participation among individuals who received financial education. Finally, a higher perceived quality of financial education is associated positively with participation in employer-provided plans. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Financial Counseling & Planning. 2026/01, Vol. 37, Issue 1, p136
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2026
- ISSN:1052-3073
- DOI:10.1891/JFCP-2024-0045
- Accession Number:193016637
- Copyright Statement:Copyright of Journal of Financial Counseling & Planning is the property of Springer Publishing Company, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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