Nudges, attempts to influence behaviour without forbidding any options or significantly changing the economic incentives of options, have been applied diverse issues such as sustainable consumption, e-commerce, and workplace goal-setting. Academic applications nudges grown, a burgeoning attention on nudge in higher education is developing. In this paper, we describe our unique multidisciplinary...

Nudging In both developing and developed countries, health ministries closely examine use of so-called nudges to promote population health and welfare. Cass Sunstein and Richard Thaler, who developed the concept, define a nudge as “any aspect of the choice architecture that alters people’s behavior in a predictable way without forbidding any options or significantly changing their economic ince...

In this paper we test the effect of non-binding defaults on the level of contribution to a public good. We manipulate the default numbers appearing on the decision screen to nudge subjects toward a free-rider strategy or a perfect conditional cooperator strategy. Our results show that the vast majority of our subjects did not adopt the default numbers, but their stated strategy was affected by ...

We review selected literature that examines how biases in decision making can be utilized to encourage individual health behavior, such as vaccination, and promote policy decisions, such as resource allocation. These studies use simple interventions to nudge people towards more optimal health decisions without restricting decision-makers’ freedom of choice. Examples include framing effects, def...

“Very small but cumulated decreases in food intake may be sufficient to have significant effects, even erasing obesity over a period of years” (Rozin et al., 2011). In two studies, one a lab study and the other a real-world study, we examine the effect of manipulating the position of different foods on a restaurant menu. Items placed at the beginning or the end of the list of their category opt...

Neoclassical nance assumes that investors are Bayesian. In many realistic situations, Bayesian learning is challenging. Here, we consider investment opportunities that change randomly, while payo s are observable only when invested. In a stylized version of the task, we wondered whether performance would be a ected if one were to follow reinforcement learning principles instead. The answer is a...