AEA RCT Registry currently lists 12700 studies with locations in 171 countries.

Most Recently Registered Trials

  • Impact Evaluation of a School-Based Intervention to Prevent Digital Violence Against Children and Adolescents in Bolivia
    Last registered on September 09, 2026

    This study evaluates a school-based educational intervention designed to strengthen the prevention of and response to digital violence among children and adolescents in Bolivia. The study is conducted in participating schools in three municipalities and combines a cluster randomized controlled trial with a complementary qualitative component. For the experimental component, school classes are randomly assigned to receive the intervention either early or after a short waiting period. All eligible classes eventually receive the intervention. The primary comparison is conducted after the early-treatment classes have participated in the program but before the delayed-treatment classes receive it. Randomization occurs at the class level, while outcomes are measured at the individual stude...

  • It Takes a Village (Plus AI): A Randomized Controlled Trial of Hybrid Human-AI Math Tutoring at Scale
    Last registered on September 09, 2026

    This project is a large-scale randomized controlled trial (RCT) to evaluate Personalized Learning Squared (PLUS), a hybrid human-AI tutoring program aimed at accelerating math learning among middle school students, particularly those from underserved communities. Tutoring boosts achievement, especially for students furthest behind, but it is costly and difficult to scale. Adaptive math software can deliver personalized practice at scale but often yields uneven engagement and results. PLUS integrates the strengths of both approaches by pairing remote human tutors with an AI-powered dashboard that synthesizes real-time and historical data from widely used platforms (e.g., iReady, IXL, MATHia, MobyMax). The dashboard helps tutors set, share, and track students' weekly math software practic...

  • The Effect of Firearm Media Exposure on Political Attitudes
    Last registered on September 09, 2026

    This randomized online survey experiment, fielded on Verasight's national panel with 2,000 U.S. adults (1,000 gun owners and 1,000 non-owners), examines whether exposure to popular gun-related media shapes political attitudes. Within each gun-ownership group, participants are randomly assigned to watch a short, widely viewed social-media video showcasing an AR-15-style rifle at an outdoor shooting range or a comparable video about consumer electronics; a random half of those shown the gun video additionally read a brief summary of the Democratic and Republican parties' positions on gun policy before answering outcome questions. We test whether gun media exposure shifts partisan affect, gun-policy attitudes, gun purchase intentions, and gun-related political engagement; whether partisan ...

  • Measuring job search
    Last registered on September 09, 2026

    In this project, we vary how we elicit job search behavior among the unemployed.

  • Effects of Brief Educational Interventions on Learning to Critically Assess Investment Tips on Social Media
    Last registered on September 09, 2026

    With this experiment, we aim to evaluate the effects of brief educational interventions on individuals’ ability to recognize financial self-interest and fraudulent intentions, when present, in investment tips on social media. We conduct a randomized controlled online experiment with individuals aged 18–45 residing in Germany. Participants are randomly assigned to one of three conditions: (i) a pure control group that receives no material, (ii) a treatment group that receives a text-based treatment describing key principles for navigating investment tips on social media, or (iii) a treatment group that receives the same information text supplemented with comic panels embedded throughout the text. Using simulated social media investment-tip videos, we examine the effects of the treatments...

  • The Economic Consequences of Improving Sleep among the Urban Poor through Cognitive Behavioral Therapy for Insomnia
    Last registered on September 09, 2026

    Poor sleep is common among adults living and working in low-income urban settings, but there is little evidence on whether improving sleep changes health or economic outcomes in these contexts. Existing interventions have mostly tried to increase how long people sleep. This study instead evaluates a program that targets sleep quality. The program is adapted from Cognitive Behavioral Therapy for Insomnia (CBT-I), the standard non-drug treatment for insomnia in high-income countries, where it is typically delivered by trained clinicians over seven or more individual sessions. Our adaptation condenses the core content into four weekly group sessions, delivered through pre-recorded video modules and trained lay facilitators rather than health professionals, and is designed for low-cost deli...

  • Personalized Support and Student Success
    Last registered on September 08, 2026

    The purpose of this study is to evaluate whether a universal student support intervention that provides personalized video feedback, recommendations, and action-oriented tasks can improve students' academic and college experiences. The intervention is designed to address common challenges experienced by college students, including study strategies, time management, financial stress, social belonging, and other barriers to academic success. We will examine whether students who receive personalized support demonstrate improvements in outcomes such as academic performance.

  • Assessing the importance of macroeconomic indicators for households’ subjective economic well-being
    Last registered on September 08, 2026

    This project aims to shed light on the link between perceptions and expectations about macroeconomic aggregates such as inflation, unemployment rate, and stock market performance and household expectations about their subjective financial well-being. We provide randomized information on the past year’s macroeconomic aggregates to 75% of the sample. One-third of those receive information about the inflation rate over the past 12 months, one-third receive information about the change in the unemployment rate over the past 12 months, and one-third receive information about the past year’s stock market performance. We investigate the impact of the information treatments on households’ macroeconomic expectations as well as their micro-level expectations about their own job loss, household in...

  • Understanding Overconfidence
    Last registered on September 08, 2026

    We aim to understand what drives individual overplacement when participants are asked questions about their ability or intelligence. Our main hypothesis is that overplacement is driven by a desire to not perceive oneself in the very bottom of the distribution (lowest quartile), rather than a desire to place oneself at the very top of the distribution (highest quartile). To test this hypothesis we will compare participants’ beliefs when asked to place themselves in two cases: below or above median (Median condition), and in one of four quartiles of the distribution (Q1-Q4, Quartiles condition). We also hypothesize that there will be a difference by gender, according to which men will display a stronger desire to avoid the bottom quartile than women. The study will consider two domains, a...

  • An experiment on algorithmic mediation
    Last registered on September 07, 2026

    Mediation is widely used because it is faster, cheaper, and more flexible than courts. Yet a growing body of evidence suggests that the informality of mediation can disproportionately disadvantage less powerful parties, particularly those marginalized by gender, race, or ethnicity. In response, demand for more structured and rigorous mediation practices, combined with recent technological advances, has spurred the growth of Online Dispute Resolution (ODR) systems. In a standard ODR system, the mediator is an algorithm defined by predetermined rules. Although these protocols are designed to deliver impartial outcomes, we know little about how gender visibility shapes behavior and outcomes in algorithmic mediation. We study this question in a controlled experiment using the algorithmic me...