AEA RC T Registr y

The American Economic Association's registry for randomized controlled trials

We have concerns that consumers can find it difficult to make good decisions across a wide range of financial products. This is particularly true in the context of debt management, where where through poor repayment and refinancing decisions, debts can increase and few consumers seek out advice until they are in serious financial difficulty. To address this situation, it is important to understand better how consumers make decisions and the extent to which well-timed and appropriate advice can help.

In this work, we will focus on the debt repayment and explore the potential for automated robo-advice to assist consumers to make better decisions. A number of firms are starting to provide these services. At present the majority of debt advice is provided through a mix of charitable and for-profit organisations but debt charities do not have sufficient capacity to meet consumer demand and consumers may be unwilling or unable to pay for for-profit assistance. Robo-advice has a potential to address this and may provide additional benefits when consumers feel uncomfortable discussing their debt issues in person with a human advisor. However, very little is known about the effectiveness of this advice, whether people would be willing to trust or take up automated advice and what they would be willing to pay for it.

We propose an online trial to investigate consumer outcomes and attitudes to different types of robo-advice for debt management. In this experiment, participants will face a number of hypothetical scenarios where they have a certain amount of money to allocate to the repayment of multiple debts. The objective of the participant is to allocate the repayments in such a way as to minimise the interest and fees they would pay.