AEA RCT Registry currently lists 12045 studies with locations in 170 countries.

Most Recently Registered Trials

  • Bricks to Blocks: Information and Coordination Challenges for Transitioning to a Cleaner Building Technology
    Last registered on May 07, 2026

    Traditional fired clay bricks dominate the construction sector in Bangladesh, contributing significantly to air pollution and topsoil degradation. Although cleaner, non-fired alternatives like concrete blocks exist, their adoption remains low. This study evaluates whether reducing information frictions and capacity constraints can accelerate adoption of blocks. We implement a three-arm cluster randomized controlled trial across 66 upazilas (sub-districts) in 22 districts (total baseline sample N = 3,056 respondents). Upazilas are randomized within district into: (i) Control (no intervention), (ii) Treatment 1 (T1): information workshop on block usage plus a block supplier directory targeted to contractors, procurement officers, and private clients, and (iii) Treatment 2 (T2): T1 plus ha...

  • EFFECTIVENESS OF A THEORY-BASED HEALTH INTERVENTION ON KNOWLEDGE, ATTITUDE, PERCEPTION AND SELF-EFFICACY TOWARDS KHAT CHEWING AMONG ADOLESCENTS IN MOGADISHU, SOMALIA
    Last registered on May 06, 2026

    Background: For thousands of years, khat chewing has been a common habit throughout the Horn of Africa and the Arabian Peninsula. Chewing fresh khat releases compound structurally related chemicals to amphetamines. It is estimated that more than 20 million people in Africa and the Arabian Peninsula are habitual khat chewers. Khat chewing leads to several health problems, including mood swings, hyperactivity, aggressiveness, anxiety, depression, high blood pressure, manic behavior, paranoia, Insomnia, poor concentration, and psychosis. Objective: This study aims to develop, validate, implement, and evaluate the effect of health education intervention program to improve attitude, knowledge, perception, and self-efficacy on khat chewing among secondary students in Mogadishu, Somalia. ...

  • Parental Investment and School Quality: Evidence from Ghana
    Last registered on May 06, 2026

    I am running an RCT in 80 government and 40 low-cost private schools in Cape Coast Ghana for first grade students. These schools get one or both of two cross-randomized treatments. One treatment organizes scripted parent meetings where parents are 1) told the benefits of doing literacy activities with their child at home (e.g. asking what they learned in school, reading with them, going through school materials etc.), 2) trained on how to understand the report card they get on students literacy scores, and 3) briefly trained how to run a 1-minute reading assessment using provided materials on their child. The other cross-randomized treatment trains school leaders to better coach their teachers in teaching literacy, and also how to interact/engage parents. I am studying the interaction o...

  • Theory-Based Acquisition Strategies – an experimental analysis of AI impact on decision-making in M&As.
    Last registered on May 06, 2026

    This randomized controlled trial investigates how artificial intelligence (AI) assistance influences strategic decision-making in mergers and acquisitions (M&A). The study tests whether managers trained in the Theory-Based View (TBV) of strategy produce more outcome-aligned acquisition decisions and show a higher confidence in their assessments when aided by general-purpose or agentic AI systems. Three experimental arms are implemented with at least 400 experienced managers from the MedTech and Biotech industries: (1) Control – TBV training plus web search; (2) General AI – TBV training plus ChatGPT (GPT-5.4, reasoning effort set to medium); and (3) Agentic AI – TBV training plus ``Aristotle'', a multi-agent system developed at Bocconi University that applies TBV reasoning. Participa...

  • AI Mental Health Take-up and Social Demographic Background
    Last registered on May 06, 2026

    This study examines whether AI mental health services can reduce socioeconomic inequality in access to mental health support, relative to traditional human mental health services. Mental health services are often underutilized, particularly among individuals from lower socioeconomic backgrounds. Financial constraints, stigma, accessibility barriers, and concerns about judgment may disproportionately affect these groups. AI-based counseling tools may lower some of these barriers by offering lower cost, greater immediacy, and perceived anonymity. In an online experimental survey, participants are introduced to both AI-based and human-provided mental health services. We elicit their willingness to pay (WTP) using the Becker-DeGroot-Marschak (BDM) incentive-compatible mechanism and ra...

  • Identification and Integration: Experimental Evidence from Refugees in Ethiopia
    Last registered on May 06, 2026

    This study aims to examine the impact of integrating refugees into Ethiopia’s national digital identification document (ID) program ‘Fayda’, providing them with a form of government ID that is valid and widely recognised across the country. Globally, approximately 850 million people lack official IDs, with populations living in fragile and conflict-affected contexts disproportionately affected. This ‘identity gap’ perpetuates cycles of poverty and exclusion by limiting access to services and economic opportunities. In collaboration with the Government of Ethiopia, we implement a large-scale randomized controlled trial, in which randomly selected refugee households in three regions of the country receive early access to the national ID program. We will assess the causal impact of receivi...

  • Fair Trade Agreements
    Last registered on May 06, 2026

    In considering whether free trade is desirable, norms of fairness have increasingly been voiced by citizens and their governments around the world. In this survey project, we set out to: (i) gather information on the extent to which fairness considerations influence individuals’ support for free trade and their preferences over trade policies; and (ii) interpret how these fairness considerations could affect the design of free trade agreements between countries. We will further examine whether the identity of key US trade partners (made salient through randomized assignment in survey question wording) might shape respondents' views on fairness and trade.

  • Artificial Intelligence and Tax Behavior: A Field Experiment
    Last registered on May 06, 2026

    We conducted a field experiment on how artificial intelligence affects households' property tax appeals. We mailed postcards to a random sample of households that pay property taxes and could legally reduce their taxes by filing an appeal.

  • Testing the Effects of AI Access on Parent Knowledge of Child Development
    Last registered on May 06, 2026

    Caregiver knowledge of child development shapes early learning environments that drive long-term developmental outcomes. Artificial intelligence chatbots represent a potentially scalable tool for improving parent knowledge, though their effects remain untested. This pre-analysis plan describes a randomized experiment examining whether access to an AI chatbot improves parents' knowledge of early child development. We will recruit approximately 400 U.S. parents of children aged 0–6 from the online platform Prolific and randomly assign them to a treatment condition, in which they have access to an AI chatbot (Claude) while completing the Survey of Parent/Provider Expectations And Knowledge (SPEAK), or a control condition, in which they complete the SPEAK without access to the chatbot. Our ...

  • Barriers to Retraining
    Last registered on May 06, 2026

    We implement an online economic experiment to examine workers’ willingness to learn new skills and to identify potential barriers to retraining. The study is conducted via CloudResearch Connect with 500 participants targeted from states which lead in both forest cover and rurality - Maine, Vermont, West Virginia, New Hampshire and Alabama - to allow us to compare the behaviors of rural, suburban, and urban participants. Participants first engage in a set of tasks in which they encode words using a Caesar cipher. They are then offered the opportunity to engage in a new, more difficult task that involves the acquisition of a new skill, coding in Python. Finally, participants answer a survey about AI attitudes and perceptions as well as answer sociodemographic questions. This work attem...