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Behavioral Economics in Pension Plan Design
Introduction
Traditional economic models assume that individuals make rational decisions about their retirement savings. However, behavioral economics reveals that cognitive biases, inertia, and heuristics often lead to suboptimal retirement planning. Many employees under-save, delay enrollment, or fail to adjust their contributions, leading to inadequate retirement security.
This course explores how behavioral economics principles can be applied to pension plan design to improve participation rates, increase savings, and enhance retirement outcomes. Participants will learn how to use behavioral nudges, default options, auto-enrollment, and choice architecture to design more effective pension plans.
Duration
5 days
Target Audience
This course is designed for:
Course Objectives
By the end of this course, participants will be able to:
✅ Understand the role of behavioral economics in pension plan decision-making
✅ Identify cognitive biases that affect retirement savings behavior
✅ Apply nudging techniques to encourage higher pension contributions
✅ Design pension plans with effective default options and auto-enrollment
✅ Leverage choice architecture to simplify retirement savings decisions
✅ Evaluate the impact of financial literacy programs on pension outcomes
✅ Optimize communication strategies to improve engagement with pension plans
✅ Implement policy and regulatory considerations for behaviorally-informed pension designs
Course Modules
Module 1: Introduction to Behavioral Economics in Pension Planning
Module 2: Cognitive Biases and Their Impact on Retirement Savings
Module 3: The Power of Defaults in Pension Plan Design
Module 4: Behavioral Nudges to Improve Pension Savings
Module 5: Choice Architecture and Simplification Strategies
Module 6: Financial Literacy and Pension Decision-Making
Module 7: Policy and Regulatory Considerations for Behavioral Interventions
Module 8: Measuring the Impact of Behavioral Interventions
General remarks
Start & End Date | Location | Fee (USD) | Register |
Jan 5- Jan 9, 2026 | Kigali | 2,850 | |
Jan 26-Jan 30, 2026 | Mombasa | 1,450 | |
Feb 2- Feb 6, 2026 | Nairobi | 1,150 | |
Feb 2- Feb 6, 2026 | Pretoria | 4,000 | |
Mar 2- Mar 6, 2026 | Nairobi | 1,150 | |
Mar 23- Mar 27, 2026 | Dar es Salaam | 2,850 | |
Apr 6- Apr 10, 2026 | Nairobi | 1,150 | |
Apr 20- Apr 24, 2026 | Nairobi | 1,150 | |
May 4- May 8, 2026 | Mombasa | 1,450 | |
May 25- May 29, 2026 | Nairobi | 1,150 | |
June 1- June 5, 2026 | Kigali | 2,850 | |
June 22- June 26, 2026 | Nairobi | 1,150 | |
July 6- July 10, 2026 | Dar es Salaam | 2,850 | |
Aug 3- Aug 7, 2026 | Nairobi | 1,150 | |
Aug 24- Aug 28, 2026 | Pretoria | 4,000 | |
Sep 7- Sept 11, 2026 | Nairobi | 1,150 | |
Sep 21- Sept 25, 2026 | Mombasa | 1,450 | |
Oct 5- Oct 9, 2026 | Nairobi | 1,150 | |
Oct 5- Oct 9, 2026 | Kigali | 2,850 | |
Nov 2- Nov 6, 2026 | Nairobi | 1,150 | |
Nov 23- Nov 27, 2026 | Dar es Salam | 2,850 | |
Dec 7- Dec 11, 2026 | Nairobi | 1,150 |
Start & End Date | Fee (USD) | Register |
Jan 5-Jan 9, 2026 | 800 | |
Jan 26-Jan 30, 2026 | 800 | |
Feb 2- Feb 6, 2026 | 800 | |
Feb 23- Feb 27, 2026 | 800 | |
Mar 2- Mar 6, 2026 | 800 | |
Mar 23- Mar 27, 2026 | 800 | |
Apr 6 – Apr 10, 2026 | 800 | |
Apr 20 – Apr 24, 2026 | 800 | |
May 4 – May 8 , 2026 | 800 | |
Jun 1 – Jun 5, 2026 | 800 | |
Jun 22 – Jun 26, 2026 | 800 | |
July 6 – July 10, 2026 | 800 | |
July 27 – July, 2026 | 800 | |
Aug 3 – Aug 7, 2026 | 800 | |
Aug 24 – Aug 28, 2026 | 800 | |
Sept 7 – Sept 11, 2026 | 800 | |
Sept 21– Sept 25, 2026 | 800 | |
Oct 5 – Oct 9, 2026 | 800 | |
Oct 26 – Oct 30, 2026 | 800 | |
Nov 9 – Nov 13, 2026 | 800 | |
Dec 7 – Dec 11, 2026 | 800 |
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