AEA RCT Registry currently lists 11945 studies with locations in 170 countries.
This study is based on a randomized controlled trial conducted in 10 private and public firms located in the Grenoble metropolitan area. It aims at investigating the direct and peer effects (through co-workers) in the short, medium and long terms of an intervention which mobilizes psychological and behavioral economics techniques to reduce solo car use and increase physical activity during commuting trips. Employees will be asked to complete several online questionnaires, including two questionnaires before the intervention and three questionnaires after the intervention. Information on individual sociodemographic characteristics, workload and teleworking practices, social interactions within the company, well-being at work, daily life behaviors (such as diet, physical activity, mobi...
We study fiscal accountability in a laboratory election environment in which candidates compete over a full fiscal platform consisting of a budget and its allocation between a public good and private rents. The theory predicts that more disproportional power-sharing rules raise the electoral stakes of winning and therefore discipline rent extraction. The experiment is designed to test five hypotheses. First, greater power-sharing disproportionality should reduce corruption, increase public-good provision, and improve aggregate voter welfare. Second, if voters behave fully rationally, human voters should not differ from automated utility-maximizing voters. Third, explicit disclosure of rents should not matter when voters can infer rents from the budget constraint. Fourth, greater disprop...
Evaluating the truthfulness of new information is important for knowledge building and often influences the decision to share information. This study compares two approaches to improving judgments of whether information is reliable. The first, grounded in existing literature, teaches individuals to identify specific signals that indicate truthfulness. The second method builds domain-specific knowledge—in this case, about vaccines—to help individuals assess information based on its content. To compare these two approaches, we randomize social media users in Freetown, Sierra Leone, to receive a short interactive training program focusing on i) hand-washing (a placebo health topic for (Control), ii) how to spot typical features of misinformation (Misinformation Skills}), or iii) how vaccin...
Recent advances in artificial intelligence (AI) offer opportunities to improve healthcare delivery through AI-driven primary care consultations. However, patient acceptance remains uncertain. To inform healthcare policy and insurance benefit design, it is essential to understand the conditions under which patients would accept AI consultations instead of traditional doctor visits, especially the financial compensation or savings necessary to encourage adoption. This study aims to: Measure patients' willingness-to-accept (WTA) compensation for switching from traditional doctor visits to AI-based consultations for primary care. Identify how WTA varies based on AI attributes, including: Price differences Wait time differences Medical liability of AI for errors AI’s ability to pr...
This study uses an online experiment to examine how consumers respond to different types of cash rebates linked to environmentally relevant consumption choices. Participants make repeated decisions about how many units of a product to purchase under a fixed price that reflects a carbon charge, with lower consumption associated with greater environmental benefits. We compare behavior under several treatments inlcuding a no rebate control, a guaranteed cash rebate, and several probabilistic rebate schemes that differ in the likelihood of rebate payment. The study is designed to assess whether probabilistic rebates generate similar behavioral responses to guaranteed rebates, and to examine whether responses vary systematically with the probability of receiving a rebate. This experiment con...
There are large performance gaps in standardized test scores based on gender, migration background, and socioeconomic status. However, these gaps are the result of an interplay of individual choices and institutional inequality. Therefore, it is unclear if the public sees these performance gaps as a problem, and if there is a need to implement policies to compensate for differences. To investigate these questions, I conduct an information provision experiment using a representative sample of Germans (N~4,000). In the experiment, I provide participants with information regarding performance gaps in education. I then assess if survey participants perceive performance gaps as problematic and their views on appropriate measures to address these disparities. The findings potentially have imp...
This project seeks to analyze how physical attributes, such as perceived dominance, and the policy proposals of candidates interact in electoral decisions, considering gender and information conditions (time pressure and access costs) as factors that structure biases and stereotypes in political behavior. The research stems from evidence that when voters face cognitive or informational limitations, they tend to use heuristic shortcuts, such as physical appearance, to simplify their decision. Previous studies demonstrate that traits such as attractiveness, facial dominance, and perceived emotions influence the evaluation of candidates, and that these effects can differ between men and women, reproducing leadership and gender stereotypes. The study proposes four main hypotheses: (1)...
We conduct laboratory experiments to compare decentralized bargaining to automated dispute resolution in scenarios of either one-issue or two-issue bargaining. For one-issue situations, the optimal mechanism neither achieves full efficiency nor is strategy-proof. However, for disputes involving two issues, an efficient and strategy-proof mechanism can be achieved within a confined parameter set. Within subjects, we vary whether these parameters allow for strategy-proofness in two-issue scenarios. Between subjects, we vary the ODR mechanisms and the number of issues. Free-form bargaining serves as our reference baseline.
This randomized controlled trial (RCT) evaluates the causal impact of an AI-powered Research Development Tool on the academic productivity and well-being of early-career researchers. Participants — PhD students and junior economists within five years of their doctorate — will be randomly assigned, within career-stage strata, to either a control group with access to a general-purpose AI or a treatment group with access to a comprehensive AI-driven Research Development Suite offering structured, expert-level feedback on research papers. The control group will receive access 12 months after the experiment's start date. Over a 24-month intervention period, we measure changes in externally evaluated research quality, paper submission rates, job satisfaction, and work-life balance. Our cen...
Investments in early childhood development (ECD) have lifelong effects on the growth of an individual, the educational attainment of the next generation, and the economic growth of a country. Poor ECD trends persist in populations around the world, especially those in lower and middle-income countries. Research shows that many children from less-resourced settings might not be experiencing high quality language and parent-child interaction environments necessary for healthy child development. Evidence from non-Western, as well as low-income settings in developed countries, suggests that the home language and parent-child interaction environment have a strong influence on child development outcomes. Rural China is one example of a low-income setting where the home language environment...