AEA RCT Registry currently lists 10250 studies with locations in 170 countries.
This document proposes a randomized controlled trial (RCT) in Nairobi, Kenya to estimate the value of a statistical life (VSL). Previous work has relied on observational evidence from settings such as transportation or employment decisions to bound individuals' price elasticity of demand for reductions in mortality risk. These approaches assume that individuals have unbiased information about mortality risk, and then use objectively measured risks to estimate demand models. This study first aims to investigate the possibility that individuals have systematically biased beliefs about risk. Second, we aim to generate experimental variation to estimate VSL. We plan to implement this experiment in the context of demand for motorcycle helmets.
Extended Producer Responsibility (EPR) is an environmental policy strategy that aims to make producers responsible for the waste management of their products and packaging across the entire life cycle. Within this policy, different types of "eco-modulation" are discussed as incentive strategies by governmental institutions aiming to improve the sustainability of the eco-design of firms’ products. Using a large-scale behavioral experiment, we study the effectiveness of different incentive strategies regarding the environmental outcome, the firms’ profit, and the regulators’ revenue. The experimental method enables us to systematically investigate under controlled conditions how producers behaviorally respond to potential changes in the provided incentive structure and the underlying psyc...
This study is to empirically examine the mechanism of the peer teacing in a group-work discussion during class time on students' learning outcomes in a flipped classroom. The experiment is conducted in an undergraduate economics course. Specifically, we are going to investigate (1) whether group discussions have a peer effect and (2) the characteristics of group members and combinations of group members that have a large peer effect, and in particular, whether personality traits such as motivation to learn can have a peer effect. Our research team has been studying the effects of flipped classrooms on learning outcomes in “Introduction to Economics,” a first-year course in the Faculty of Economics at Ritsumeikan University, from 2021 to 2024. Our research has revealed that (1) flippe...
We examine whether the design of a shopping “swap” -a pop-up window suggesting an environmentally-friendlier alternative to the consumers first choice- can influence both the environmental impact on final grocery baskets and consumer identity. Building on policy and behavioural research on defaults in contexts of heterogeneous preferences and shaping identity (Sunstein, 2017), we explore the effects of different swap designs in cognitively demanding environments, e.g. online grocery shopping. Participants, in the intervention week (week 2), are presented with either default opt-in, default opt-out or active choice designs. Using an incentive compatible framed field experiment and a difference-in-differences approach, we estimate the causal effect of swap design on the eco-score of groc...
This paper studies strategic interactions, economic preferences, and subjective well-being among a targeted sample of LGBTQ+ and LGBTQ+-friendly performing artists. Partnering with several semi-professional metropolitan choruses, I conduct an artefactual field experiment featuring random pairing of subjects to test a simultaneous game with positive externalities.
We investigate consumer choices regarding perishable food products that are close to their expiration dates. We investigate how information about alternative uses and shelf-life extension techniques on such items alters consumer behavior. This would help ascertain the value that consumers place on the information while making purchase decisions. Using a field experiment with grocery store customers we measure consumers' willingness to pay (WTP) for products with varying expiration dates under different information treatments. The treatment group receives information about alternative uses and how to extend the shelf-life of almost-expired food products. The hypothesis to be tested is whether consumers would increase their WTP for close-to-expiry products based on such information nudges.
This study examines how access to generative artificial intelligence (AI) tools affects student learning outcomes in higher education. Using a randomized controlled experiment, we assign undergraduate students to complete learning tasks on unfamiliar academic topics either with or without access to generative AI tools. The experiment consists of two sessions approximately one week apart, allowing us to measure both immediate performance and longer-term knowledge retention. In the first session, participants complete a baseline assessment, engage in a structured learning exercise on an assigned topic, and produce a written analysis. Only participants in the treatment group are permitted to use generative AI during this process. In the second session, all participants complete knowledge r...
The objective of this study is to estimate worker's willingness to pay for current over future income. We do so by analysing worker's choice of job through an online discrete choice experiment. Using fictitious job offers, offering different wage-pension bundles, we estimate how much in current wage workers are willing to forego for an increase in pension benefits.
Despite the importance of early mathematical skills for children's further development, research has shown that preschool teachers lack knowledge on how to optimally design mathematical learning opportunities in their classrooms. We therefore developed a professional development (PD) program for preschool teachers within the domain of mathematics. The PD program focuses on children's mathematical learning trajectories and provides teachers with specific tools to build powerful mathematical interactions by including rich mathematical language in their modelling, questioning and feedback. We will evaluate the impact of this PD program on the quality of mathematical interactions provided by the teachers, as well as on children's mathematical and language skills.
Job seekers often face challenges in finding jobs that align with their skills and meet employer demands. To address this, we conduct a randomized controlled trial to evaluate whether artificial intelligence can assist job seekers in two key ways: 1) gaining a clearer understanding of their own skills, and 2) identifying careers that align with their skills and labor market demand. This improved understanding should enable job seekers to make more informed decisions about training programs and career paths, resulting in better labor market outcomes - such as securing jobs more quickly, staying employed longer, and achieving greater job satisfaction.