AEA RCT Registry currently lists 12370 studies with locations in 171 countries.
We design an experiment to test for discrimination.
This pre-analysis plan should be read as an addition to the pre-analysis plans AEARCTR-0010425 and AEARCTR-0016856 submitted to the AEA RCT registry, concerning the same project. The project studies how individuals trade off ensuring fair inequality and avoiding unfair inequality in a spectator design. We collect additional data to elicit participants’ willingness to pay for ensuring fair inequality and for avoiding unfair inequality.
This study investigates how experiencing unequal opportunities firsthand influences redistributive preferences and beliefs about fairness. Participants are randomly assigned to perform either an easy or a hard version of an effort task that appears identical across conditions but subtly differs in difficulty, mimicking hidden structural barriers. After this experience, all participants act as impartial spectators and decide how to redistribute income between two agents who faced unequal opportunities in the same task. By comparing redistribution choices and belief updating across those who experienced advantage (easy task) and disadvantage (hard task), we test whether direct exposure to inequality increases fairness-driven redistribution, shifts attributions from effort to circumstance,...
One-to-one tutoring is widely regarded as the gold standard for personalised education, yet it remains prohibitively expensive to deliver at scale. Recent advances in generative AI have prompted growing interest in whether large language models (LLMs) can approximate the pedagogical effectiveness of expert human tutors. However, empirical evidence remains scarce. Most published evaluations of AI tutoring systems rely on user satisfaction metrics or short-duration laboratory tasks rather than rigorous field experimentation with validated learning outcome measures. An exploratory randomised controlled trial (RCT) conducted in 2025 provided initial evidence that AI tutoring can support student mathematics learning at levels similar to expert human tutoring (N = 165; arxiv:2512.23633). ...
In this project we implement a randomized controlled trial (RCT) to analyze how the topical focus of information (focus on nutrition vs. soil benefits) and the mode of information delivery (short oral information treatment vs. educative board game) affects knowledge acquisition, long-term retention, and the adoption of climate-resilient farming practices. The intervention begins with the implementation of an educative board game, followed by the distribution of cowpea seeds to all participating farmers. The game is deployed across two treatment arms: one focusing on soil health benefits and the other on nutritional benefits of cowpeas. Both versions of the game actively promote intercropping cowpea with cassava as a practice to sustainably increase land productivity and mitigate climate...
In partnership with a private vocational institute in Dakar, Senegal, we will conduct a randomised controlled trial (RCT) to evaluate the impact of expanding vocational training (VT) opportunities for women in traditionally male-dominated sectors such as mechanics and electricity. The institute currently serves predominantly male students, but there is strong interest in increasing the enrolment of female students. Focus group discussions and descriptive data suggest there is pent-up demand among women for such training. However, both financial and non-financial barriers may limit participation. The ability to pay is heterogeneous, and additional non-financial constraints include concerns about employment prospects, balancing work with family responsibilities, and fears that entering m...
Times of economic crises raise questions about how to distribute burdens and support, evoking a debate about what is fair. While previous research has shown that, even in economically stable times, there exists a plurality of fairness views, it is less clear how and whether the latter react to a changing economic environment. In this project, we use a series of experiments to explore whether negative income shocks affect individual preferences for redistribution. The experiment consists of two parts: a production and a redistribution stage. After having earned an endowment, participants are paired in groups of two and given the opportunity to redistribute income. We then explore the effect of negative income shocks, varying both who is affected and what is known about the experiences of...
Background: Self-control, self-defence self-efficacy, and mental resilience are among the fundamental psychological determinants of performance and competitive endurance in combat sports. However, scientific evidence regarding structured, evidence-based psychological intervention programs for professional female wrestlers is limited. This study aimed to examine the effect of a structured psychological intervention program based on psychological skills training on the levels of self-control, self-defence self-efficacy, and mental resilience in professional female wrestlers. Method: The research was conducted using a randomized controlled pre-test–post-test experimental design. A total of 30 professional female wrestlers aged between 18 and 25 participated in the study. Participants were...
We randomize different forms of relief to small business borrowers during a period of crisis (defined in our setting as a substantial increase in input cost) to provide evidence on how to use contracting to recover from a common (cost) shock. Our Lender provides collateralized credit to business owners that operate a transportation business in South Africa. In light of the large gas price increase in 2026, we collaborate with the Lender to provide borrowers with either unconditional relief; or conditional relief --- conditional either on effort exertion or on loan repayment. The objective of the experiment is to study the impact of different forms of relief on short-run versus long-run borrower repayment and effort.
This study reports a school-randomised field experiment on whether teacher-mediated, generative-AI-supported revision improves student learning in resource-constrained government schools. From an eligible pool of schools provided by the Ministry of Education, Government of Rajasthan, we randomised 43 schools to treatment (22) and control (21). In treatment schools, teachers used a curriculum-aligned custom GPT system on classroom smartboards during pre-examination revision in mathematics and science for Classes 7 and 9. At the beginning of each session, the system offered three modules (concept revision, practice questions, and doubt resolution) and generated responses live at three difficulty levels (basic, intermediate, and advanced), enabling within-classroom differentiation that con...