Omar Al-Ubaydli, John A List
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This is a review of the literature of field experimental studies of markets. The main results covered by the review are as follows: (1) Generally speaking, markets organize the efficient exchange of commodities; (2) There are some behavioral anomalies that impede efficient exchange; (3) Many behavioral anomalies disappear when traders are experienced.
Omar Al-Ubaydli, John A List, Claire Mackevicius, Min Sok Lee, Dana L Suskind
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Policymakers are increasingly turning to insights gained from the experimental method as a means to inform large scale public policies. Critics view this increased usage as premature, pointing to the fact that many experimentally-tested programs fail to deliver their promise at scale. Under this view, the experimental approach drives too much public policy. Yet, if policymakers could be more confident that the original research findings would be delivered at scale, even the staunchest critics would carve out a larger role for experiments to inform policy. Leveraging the economic framework of Al-Ubaydli et al. (2019), we put forward 12 simple proposals, spanning researchers, policymakers, funders, and stakeholders, which together tackle the most vexing scalability threats. The framework highlights that only after we deepen our understanding of the scale up problem will we be on solid ground to argue that scientific experiments should hold a more prominent place in the policymaker's quiver.
Elvis Cheng Xu
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We conduct a field trust game under a natural experiment context to test the impacts of urbanisation on trust. We conjecture that urbanisation, defined in this context as the process of state-led rural-urban migration, contributes to a transformation of trust levels among co-villagers and towards outsiders. We test this conjecture in an experimental approach and more generally, examine whether the urbanisation will produce significant impacts on in-group trust and out-group trust. The research finds that urbanisation does not decrease significantly the trust towards co-villagers, meaning the in-group trust did not change statistically significantly. However, the trust towards outsiders does increase as a result of the state-led urbanisation. We also run a regression on the trust exhibited towards participants in the experiment and found the partial effect of whether they are co-villagers or outsiders weakens as a result of the urbanisation, and therefore conclude urbanisation decreases out-group discrimination in trust.
James Andreoni, Amalia Di Girolamo, John A List, Claire Mackevicius, Anya Samek
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We conduct experiments eliciting risk preferences with over 1,400 children and adolescents aged 3-15 years old. We complement our data with an assessment of cognitive and executive function skills. First, we find that adolescent girls display significantly greater risk aversion than adolescent boys. This pattern is not observed among young children, suggesting that the risk gap in risk preferences emerges in early adolescence. Second, we find that at all ages in our study, cognitive skills (specifically math ability) are positively associated with risk taking. Executive functions among children, and soft skills among adolescents, are negatively associated with risk taking. Third, we find that greater risk-tolerance is associated with higher likelihood of disciplinary referrals, which provides evidence that our task is equipped to measure a relevant behavioral outcome. For academics, our research provides a deeper understanding of the developmental origins of risk preferences and highlights the important role of cognitive and executive function skills to better understand the association between risk preferences and cognitive abilities over the studied age range.
Omar Al-Ubaydli, John A List, Dana L Suskind
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Policymakers are increasingly turning to insights gained from the experimental method as a means of informing public policies. Whether-and to what extent-insights from a research study scale to the level of the broader public is, in many situations, based on blind faith. This scale-up problem can lead to a vast waste of resources, a missed opportunity to improve people's lives, and a diminution in the public's trust in the scientific method's ability to contribute to policymaking. This study provides a theoretical lens to deepen our understanding of the science of how to use science. Through a simple model, we highlight three elements of the scale-up problem: (1) when does evidence become actionable (appropriate statistical inference); (2) properties of the population; and (3) properties of the situation. We argue that until these three areas are fully understood and recognized by researchers and policymakers, the threats to scalability will render any scaling exercise as particularly vulnerable. In this way, our work represents a challenge to empiricists to estimate the nature and extent of how important the various threats to scalability are in practice, and to implement those in their original research.
Eliot Abrams, Jonathan Libgober, John A List
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The past few decades have ushered in an experimental revolution in economics whereby scholars are now much more likely to generate their own data. While there are virtues associated with this movement, there are concomitant difficulties. Several scientific disciplines, including economics, have launched research registries in an effort to attenuate key inferential issues. This study assesses registries both empirically and theoretically, with a special focus on the AEA registry. We find that over 90% of randomized controlled trials (RCTs) in economics do not register, only 50% of the RCTs that register do so before the intervention begins, and the majority of these preregistrations are not detailed enough to significantly aid inference. Our empirical analysis further shows that using other scientific registries as aspirational examples is misguided, as their perceived success in tackling the main issues is largely a myth. In light of these facts, we advance a simple economic model to explore potential improvements. A key insight from the model is that removal of the (current) option to register completed RCTs could increase the fraction of trials that register. We also argue that linking IRB applications to registrations could further increase registry effectiveness.
John A List
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No abstract available
Greg Allenby, Russell Belk, Catherine Eckel, Robert Fisher, Ernan Haruvy, John A List, Yu Ma, Peter Popkowski Leszczyc, Yu Wang, Sherry Xin Li
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We offer a unified conceptual, behavioral, and econometric framework for optimal fundraising that deals with both synergies and discrepancies between approaches from economics, consumer behavior, and sociology. The purpose is to offer a framework that can bridge differences and open a dialogue between disciplines in order to facilitate optimal fundraising design. The literature is extensive, and our purpose is to offer a brief background and perspective on each of the approaches, provide an integrated framework leading to new insights, and discuss areas of future research.
Eszter Czibor, David Jimenez-Gomez, John A List
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What was once broadly viewed as an impossibility - learning from experimental data in economics - has now become commonplace. Governmental bodies, think tanks, and corporations around the world employ teams of experimental researchers to answer their most pressing questions. For their part, in the past two decades academics have begun to more actively partner with organizations to generate data via field experimentation. While this revolution in evidence-based approaches has served to deepen the economic science, recently a credibility crisis has caused even the most ardent experimental proponents to pause. This study takes a step back from the burgeoning experimental literature and introduces 12 actions that might help to alleviate this credibility crisis and raise experimental economics to an even higher level. In this way, we view our "12 action wish list" as discussion points to enrich the field.
Snigdha Gupta, John A List, Lauren Supplee, Dana L Suskind
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Failed to Scale: Embracing the Challenge of Scaling in Early Childhood