How defaults and commitment devices change financial behavior.
Financial services has the most robust experimental evidence on default effects and commitment devices of any policy domain. The finding that automatic enrollment in retirement savings produces dramatically higher participation than opt-in enrollment has reshaped retirement policy across dozens of countries. The question is how far these design insights generalize.
10
experiments
8
positive results
0
null or negative
4
replicated
Key Findings
01
Automatic enrollment in retirement savings dramatically increases participation — and Save More Tomorrow nearly eliminates contribution inadequacy.
Auto-enrollment experiments in 401(k) plans find that participation rates rise from around 40% opt-in to 85–95% with automatic enrollment. Save More Tomorrow — which automatically escalates contributions when employees receive raises — found that participants increased savings rates from 3.5% to 13.6% over 40 months, with almost no opt-outs. Together, these behavioral interventions address the two main failures of voluntary retirement saving: inertia preventing initial enrollment, and present bias preventing contribution increases.
02
Commitment savings products increase savings for households with self-control problems — but require voluntary uptake.
The SEED commitment savings account in the Philippines randomized offers of a savings account that restricted withdrawals until a goal was met. 28% of those offered opened accounts — primarily those who showed prior evidence of present-biased preferences. Savings balances increased by 81% for account openers. Similar commitment savings experiments in Kenya and Malawi found comparable effects. The mechanism — allowing people to protect future savings from present-self spending — consistently works for those who choose it.
03
Mobile money access improves financial resilience for low-income households, particularly women.
M-PESA in Kenya — evaluated through a combination of rollout variation and direct experiments — found that access to mobile money enabled households to cope better with economic shocks. Women with access to M-PESA were 22 percentage points more likely to have savings, and households with access showed smaller consumption drops after income shocks. The mechanism is liquidity: mobile money enables rapid transfers from relatives or savings, smoothing consumption over income shocks.
Important Null & Negative Results
Programs that failed to produce expected outcomes under rigorous evaluation.
Financial Coaching for Low-Income Adults
United States (multiple cities) · 2015
A randomized evaluation of financial coaching programs by the CFPB found mixed effects: some programs improved financial behaviors for specific subgroups but no program produced consistent significant effects on credit scores, savings balances, or debt reduction across the full sample. Financial coaching is a popular and well-intentioned intervention; the evidence for it is weaker than for structural changes like auto-enrollment.
All Experiments in the Registry
Personalized Loan Repayment SMS Reminders
mixedPhilippines · 2013
Buy-Now-Pay-Later SMS Late Payment Reduction
positiveNetherlands · 2024
Seattle Minimum Wage Study
mixedSeattle, WA, United States · 2016
Year Up Job Training Evaluation
positiveUnited States (multiple cities) · 2018
M-Pesa Mobile Money and Poverty Reduction
positiveKenya · 2016
Commitment Savings Accounts for Agricultural Workers
positiveKenya · 2008
Financial Coaching for Low-Income Adults
positiveUnited States (multiple cities) · 2015
Save More Tomorrow (SMarT) Commitment Program
positiveUnited States · 2004
401(k) Auto-Enrollment and Save More Tomorrow
positiveMultiple US companies · 1998
SEED Commitment Savings Account — Philippines
positiveMindanao, Philippines · 2004
What the Evidence Cannot Yet Tell Us
How do default effects interact with financial literacy? Auto-enrollment works even with low financial knowledge — but does financial education improve quality of savings decisions, or just increase participation in default options?
What is the right default contribution rate for auto-enrollment? Most programs use 3%; research suggests higher defaults increase contributions without meaningful opt-out increases.
Do commitment savings products work for retirement (long time horizons) with the same effectiveness as they do for short-term goals?
How do Buy Now, Pay Later products affect long-run financial health for low-income consumers?