We investigate whether piece-rate and competitive incentives affect creativity, and if so, how the incentive effect depends on the form of the incentives. We find that while both piece-rate and competitive incentives lead to greater effort relative to a base-line with no incentives, neither type of incentives improve creativity relative to the base-line. More interestingly, we find that competitive incentives are in fact counter-productive in that they reduce creativity relative to base-line condition. In line with previous literature, we find that competitive conditions affect men and women differently: whereas women perform worse under competition than the base-line condition, men do not.

We investigate the role of intentions in two-player two-stage games. For this purpose we systematically vary the set of opportunity sets the first mover can choose from and study how the second mover reacts not only to opportunities of gains but also of losses created by the choice of the first mover. We find that the possibility of gains for the second mover (generosity) and the risk of losses for the first mover (vulnerability) are important drivers for second mover behavior. On the other hand, efficiency concerns and an aversion against violating trust seem to be far less important motivations. We also find that second movers compare the actual choice of the first mover and the alternative choices that would have been available to him to allocations that involve equal material payoffs.

This study experimentally examines the role of indirect higher order beliefs in sequential psychological games. We consider a three-player sequential game in which the first and third players do not interact sequentially, but only through an intermediary, the second player. We posit that the third player’s decision to cooperate depends on his indirect higher order belief, namely, his belief about what the first player believes the second player would choose. We employ pre-play communication between the first and third players as a way to influence the third player’s indirect higher order belief. The evidence demonstrates that communication can effectively induce cooperation from the third player by shaping his indirect higher order belief.

Group favoritism is typically directed toward in-group members and against out-group members, but these cross-group effects often vary. Little is known about why group effects on economic choices vary. We use a survey method developed in social psychology to measure stereotyped attitudes of one group toward another. These attitudes are then associated with prosociality in five experimental games (also using an unusual amount of individual-level sociodemographic control). We present evidence from an artificial field experiment of a majority group with high status (Vietnamese) exhibiting no disfavoritism toward a lower-status out-group (Khmer) and typical disfavoritism to a second out-group (Chinese). Both Vietnamese and Chinese groups see the Khmer as warm but incompetent, attitudes which seem to activate empathy rather than contempt. The results suggest that measuring between-group stereotype attitudes can be used to predict the sign of cross-group favoritism in other natural settings.

While laboratory and field experiments are the major items in the toolbox of behavioral economists, household panel studies can complement them and expand their research potential. We introduce the German Socio-Economic Panel’s Innovation Sample (SOEP-IS), which offers researchers detailed panel data and the possibility to collect personalized experimental and survey data for free. We discuss what SOEP-IS can offer to behavioral economists and illustrate a set of design ideas with examples. Although we build our discussion on SOEP-IS, our purpose is to provide a guide that can be generalized to other household panel studies as well.

Loss framing and checklist formatting are two oft-cited tools for encouraging behavior change, but there is little causal evidence on their impact in field settings. We partnered with the City of Philadelphia to test the effectiveness of these tools to increase completion of the City’s wellness program. In our experiment, 5235 City employees and retirees were randomly assigned to receive one of four postcard versions (using a 2 × 2 design), whereby we varied both framing (gain or loss) and how instructions were provided (information only or information in checklist format). Our results suggest that neither loss framing nor the checklist formatting significantly influenced the likelihood that individuals would complete the wellness tasks, or how quickly they completed the tasks. We conclude that this specific form of employee behavior may be difficult to influence through the “passive” behavioral interventions we tested, and suggest that a more “active” approach may be required in such instances.

We have previously argued thatbehavioral scientists have been testing and advocating individualistic (i-frame) solutions to policy problems that have systemic (s-frame) causes and require systemic solutions. Here, we consider the implications of adopting an s-frame approach for research. We argue that an s-frame approach will involve addressing different types of questions, which will, in turn, require a different toolbox of research methods.

Traditional approaches for evaluating the impact of scientific research – mainly scholarship (i.e., publications, presentations) and grant funding – fail to capture the full extent of contributions that come from larger scientific initiatives. The Translational Science Benefits Model (TSBM) was developed to support more comprehensive evaluations of scientific endeavors, especially research designed to translate scientific discoveries into innovations in clinical or public health practice and policy-level changes. Here, we present the domains of the TSBM, including how it was expanded by researchers within the Implementation Science Centers in Cancer Control (ISC3) program supported by the National Cancer Institute. Next, we describe five studies supported by the Penn ISC3, each focused on testing implementation strategies informed by behavioral economics to reduce key practice gaps in the context of cancer care and identify how each study yields broader impacts consistent with TSBM domains. These indicators include Capacity Building, Methods Development (within the Implementation Field) and Rapid Cycle Approaches, implementing Software Technologies, and improving Health Care Delivery and Health Care Accessibility. The examples highlighted here can help guide other similar scientific initiatives to conceive and measure broader scientific impact to fully articulate the translation and effects of their work at the population level.

Recent meta-analyses suggest that certain drugs act as cognitive enhancers and can increase attentional investment and performance even for healthy adults. The current review examines the potential of behavioral economics enhancers (BEEs) for similarly improving cognitive performance and judgments. Traditionally, behavioral economics theory has adopted a skeptical approach regarding the notion of whether individuals can overcome judgment biases through variables that increase cognitive effort. We focus mostly on the effects of two BEEs: incentivization and losses. Summarizing results from different meta-analyses, we find a small but robust positive effect size for BEEs, with comparable effect sizes to those found in studies of pharmacological cognitive enhancers.

Recent work has argued for a Hayekian behavioural economics, which combines Austrian economics with behavioural economics as developed by Kahneman, Thaler, Sunstein, and others. We suggest that this hybrid is misguided because it relies on individual cognitivism. This view of cognition is incompatible with the Hayekian view of cognition which treats rationality as an emergent phenomenon of social interaction in an institutional environment. This Hayekian view, which we call epistemic institutionalism, is compatible with an alternative prominent perspective in psychology, that of the extended mind, sometimes known as 4E cognition. We demonstrate how the Hayekian perspective on individualism, the price system, and the evolution of rules can be connected to the extended mind programme, through concepts such as the coupling of the individual and their environment, cognitive off-loading, and affordances. We suggest that this alternative combination of Austrian economics and psychology provides a more fruitful way forward, especially because it foregrounds the processes of learning, error-correction, and institutional orders, rather than choice, bias, and individual rationality. To explain why Austrian economists have been receptive to behavioural economics, we distinguish epistemic institutionalism from the (radical) subjectivist approach, which shares key assumptions of individual cognitivism.