AEA RCT Registry currently lists 12514 studies with locations in 171 countries.

Most Recently Registered Trials

  • Improving smallholder agriculture with generative AI: The impact of Farmer.Chat in Kenya
    Last registered on July 27, 2026

    This study evaluates the impact of an AI-powered agricultural advisory chatbot, Farmer.Chat, developed by Digital Green to enhance knowledge, technology adoption, productivity, and income among smallholder farmers in Kenya. Traditional agricultural extension systems in many low- and middle-income countries face persistent capacity and reach constraints, leaving farmers with limited access to timely, tailored information. Digital advisory tools have begun to bridge this gap, yet rigorous evidence on the effectiveness of AI-enabled solutions remains limited. We will implement a cluster-randomized controlled trial (RCT) in 600 villages in Nakuru County, Kenya, to assess the causal effects of access to Farmer.Chat on farmers’ knowledge, uptake of recommended agronomic practices, yields, and...

  • Understanding mental health in the workplace
    Last registered on July 27, 2026

    We employ people with varying levels of depression and anxiety symptoms for six weeks to study links between mental health, productivity and workplace design. We provide evidence on how mental health correlates with performance in different types of task, selection into more challenging, social and/or promotable work, and assertiveness; and on how it may interact with features of workplace design such as negotiation, incentives, and how feedback is provided. We estimate how a randomized work-related cognitive behavioural therapy intervention affects mental health and the same range of economic outcomes and interactions.

  • Bridging the Gap: Evaluating AI-powered Math Tutoring to Support Low-income Middle School Students
    Last registered on July 27, 2026

    This is a randomized-controlled trial in the UK of the impact of Eedi, a math tutoring platform, on the mathematics achievement of Key Stage 3 students (Years 7-9). This project was funded through the Learning Engineering Virtual Institute (LEVI), with support from J-PAL North America.

  • Enabling Access to Work Opportunities for Women in India
    Last registered on July 27, 2026

    In contrast to almost half of the world’s female population that is working, only about 25 percent of India’s half a billion adult females report being part of the labor force (United Nations 2013 and India’s Periodic Labor Force Survey 2017, respectively). This low rate of Indian women's labor market participation is puzzling for a country that has experienced rapid fertility transition (World Bank, various years) and broad increases in women’s educational attainment (Census of India 2001 and 2011), along with substantial economic growth since the 1990s. Instead, these changes have been accompanied by a consistently low share of women working in urban areas (Klasen and Pieters 2015) and a real reduction in the share of women working in rural areas, between 1987 and 2011 (Afridi, Dink...

  • Learning without Teachers? Using Mobile Phones to Promote Adult Education in Niger
    Last registered on July 27, 2026

    Almost 1 billion adults worldwide are unable read or write in any language, with an estimated cost of US$ 5 billion annually to low-income countries (UNESCO 2020). This is of particular concern in West Africa, which has some of the lowest education indicators in the world. In Niger, the subject of our study, adult illiteracy rates are estimated at 70% (USAID 2023). Illiteracy is particularly striking in rural areas and among women. Niger’s ranking in terms of educational attainment is comparable to other Sahelian countries, namely Burkina Faso, Chad and Mali (UNDP 2017). While policymakers and academics alike have focused on primary and secondary education programs, such programs will only have impacts in the medium to long-term. Adult education programs have the potential to brid...

  • Labeling (Mis)information
    Last registered on July 27, 2026

    This study investigates how individuals label pieces of information they encounter, with a particular focus on labels associated with misinformation such as conspiracy theory. Using a survey experiment conducted on a representative sample of French adults, I examine how the identity of the alleged actor and the political affiliation of the source of a claim influence labeling decisions. Respondents are exposed to short claims and asked to classify them, while the actor or source attributed to each claim is randomly varied. This design allows me to identify whether labeling decisions are driven purely by respondents' perception of the claim - such as its perceived veracity - or also reflect their political preferences.

  • The Cost of Identity: Theory and Experimental Evidence from the Energy Labor Market
    Last registered on July 27, 2026

    This study examines how identity — both people's private sense of who they are and the image they present to others — shapes career choices in the energy sector, an industry split by a strong political and cultural divide. In an online survey experiment with adults recruited through an online research platform, participants choose between hypothetical job offers that differ in salary, sector, and other characteristics, allowing us to measure how much pay people are willing to give up to hold a job that fits their identity. We experimentally vary whether choices are private or visible to others, separating the role of self-image from social image, and we complement stated choices with real-stakes decisions such as charitable donations. The results will help us understand whether identity...

  • Personalized Emails from Course Instructors and First-Year Student Performance and Persistence: A Randomized Field Experiment
    Last registered on July 27, 2026

    This study evaluates whether timely, personalized communication from course instructors improves academic performance and persistence among first-year students in higher education. We implement a blocked randomized field experiment among approximately 2,800 first-year students across two waves at an economics school within a broad-based university in the Netherlands. The experiment takes place in introductory economics and econometrics courses, covering both Dutch-language and international tracks. Students are randomly assigned within study programme to a treatment group receiving three short personalized emails from course instructors or to a control group receiving standard course communication. The emails are sent at key moments during the first teaching block: at the start of the c...

  • Telangana Graduation with Inclusion and Livelihoods Program (TGILP) Evaluation
    Last registered on July 27, 2026

    This study evaluates the Telangana Inclusive Livelihoods Program (TGILP), a government pilot inspired by BRAC's Graduation Approach, an international model that combines financial support, assets, training, and coaching to help ultra-poor households build sustainable livelihoods. TGILP builds on this model with a view towards strengthening households’ resilience to climate change and targets groups often excluded from government programs, including Particularly Vulnerable Tribal Groups (PVTGs) and women from marginalized communities. The targeted households are likely to face overlapping challenges of extreme poverty, social exclusion, limited access to services, and rising exposure to droughts and heatwaves. The evaluation addresses the following core research questions: - Overa...

  • Reducing Coordination Failures in Antenatal Care: Evidence from Mozambique
    Last registered on July 27, 2026

    This study seeks to provide experimental evidence on the impact of a low-cost managerial intervention in the form of an appointment scheduling system to manage patient flows. The goal is to measure the impact of the scheduling system on patient retention in care, the quality of service provision and patient and provider satisfaction. A scheduling system was designed to address a common coordination failure in first-come, first-served public health care: patients concentrate arrivals in the early morning and on Mondays and Fridays, generating significant congestion in clinics. We will work with 80 clinics in Southern Mozambique to test the impact of a scheduling system that smooths patients across times of the day and days of the week.