Guest Post: A Behavioral Science Approach to Preventing Corruption

Johann Graf Lambsdorff, Professor of Economic Theory at Passau University, contributes the following guest post:

Some of our current approaches to corruption prevention perform badly. One reason is that many preventive methods are built on distrust towards officials and employees, who are seen as potentially corrupt actors. Yet research in behavioral science has provided us with impressive evidence that (many) people are (mostly) trustworthy, intrinsically motivated, and responsive to encouragement, praise, expressions of gratitude, and criticism. The problem with assuming that everyone is prone to engage in corruption if not carefully monitored is not only that prevention strategies premised on that assumption are very costly, but also that such approaches can be counterproductive: The atmosphere of distrust that they create can reduce interpersonal trust, intrinsic motivation, and the self-esteem that people get from contributing to public goods and working responsibly.

Economists have labelled these adverse collateral consequences “the hidden costs of control.” In a recent paper entitled “Preventing Corruption by Promoting Trust – Insights from Behavioral Science”, I explain how taking this phenomenon, as well related insights from behavioral sciences about creating positive incentives for good behavior, can help us design more effective policies. The paper illustrates this with the help of six examples: Continue reading