AEA RCT Registry currently lists 12024 studies with locations in 170 countries.

Most Recently Registered Trials

  • Talented employees discriminating against female entrepreneurs
    Last registered on April 29, 2026

    We conducted a randomized field experiment in which an entrepreneur reached out to high-skilled prospective employees regarding a job opening. The gender of the co-founders was randomly altered. We aim to test whether high-skill employees exhibit a differential response rate to a meeting request from a female entrepreneur. Our pilot, which ran in March 2024, indicates that high-skill employees are 50% less likely to respond to a female entrepreneur. To identify the mechanism, we primed a subset of applicants with a newsletter from an unrelated non-profit organization, sent a few days before the entrepreneur’s outreach. The newsletter provided information on large initiatives aimed at supporting female entrepreneurs with venture capital funding. In the pilot, this intervention completely...

  • AI for Literacy
    Last registered on April 29, 2026

    This study evaluates an intervention designed to examine whether activities that simulate the use of artificial intelligence (AI)–supported instructional responses can influence literacy teachers’ knowledge, confidence, perceived usefulness, and self-reported skills related to literacy instruction. The intervention is implemented with early grade literacy teachers from four Brazilian municipalities, João Pessoa (PB), Caxias do Sul (RS), Salvador (BA), and Vitória (ES), in partnership with local education authorities. Participants are randomly assigned to receive the intervention either before or after completing a questionnaire, enabling comparisons between teachers exposed to the simulated AI-based activities and those who have not yet participated at the time of assessment. The interv...

  • Measuring Economic Determinants of AI Use in Online Data Markets
    Last registered on April 29, 2026

    This project assesses the extent to which bots and LLMs are used in the online market for survey responses, and how survey payments and performance-based bonuses affect adverse selection (low-quality or automated respondents entering the survey sample) and moral hazard (human workers using LLMs instead of providing authentic responses). We further test whether technical prevention tools and moral persuasion & penalties reduce LLM-generated responses.

  • Learning to Learn—and Experiment: Synergizing Student-Centered, Experiential Science Learning and Technology Diffusion through School-Based Agricultural Extension
    Last registered on April 29, 2026

    Ineffective agricultural extension systems and low-quality learning in schools are two important issues in developing countries. School-based agricultural extension (SBAE) has been shown by Lee (2025) to be a cost-effective platform to overcome the lack of extension officers and motivate school attendance. This study extends one step further to explore SBAE's potential to improve learning via using practical, experiential student experiences in agriculture as a teaser for scientific learning, thereby feeding back into agricultural households' understanding of agricultural technologies and adaptation to their needs. Specifically, we exploit the randomized scaling of SBAE to study the impact of adding an intervention, called "Learning to Learn" (LTL; Nourani et al, 2025). Using a sample o...

  • Effects of group size on investment decisions & Inconsistent Risk Preferences
    Last registered on April 29, 2026

    The study consists of two distinct experiments that each participant will take part in. Experiment 1 (Responsibility): This project studies how the size of the affected group influences decisions made on behalf of others. We implement a controlled online experiment in which the number of principals varies systematically while convex incentive structures are kept constant across conditions. This design isolates the effect of group size from payoff differences. Participants make decisions under risk for others across a wide range of group sizes, including large-scale settings. The approach enables a clean identification of how group size shapes responsibility and risk-taking. Experiment 2 (Inconsistency): This study tests whether risk preferences elicited via the Gneezy–Potters inve...

  • Independent media and political engagement in Kazakhstan
    Last registered on April 29, 2026

    Independent media is widely regarded as a cornerstone for democratization, but citizens may respond in diverging ways. This study investigates how locally sourced, uncensored media information influences beliefs, attitudes, and political engagement within an autocratic context. In collaboration with an independent media organization in Kazakhstan, I conduct a field experiment in which individuals are randomly assigned to receive non-mainstream political information via a fact-checking service. The intervention lowers the cost of accessing independent information by delivering daily fact-checked messages via a dedicated channel on a popular social media platform. Evidence from the pilot study indicates that exposure to independent information leads individuals to update their beliefs abo...

  • India's Voter (Re-)Enrollment Exercise and its Consequences on Institutional Trust, Candidate Choice, and Cognition
    Last registered on April 29, 2026

    This study examines the effects of Rajasthan's election preparation process (for the upcoming local elections) on voter trust, civic participation, and political attitudes. We administer a survey to approximately 4,000 voters drawn from 200 polling stations across 28 Assembly Constituencies in Rajasthan. The study embeds two pre-registered randomized experiments: (1) a priming experiment on whether exposure to the electoral process related module affects respondents' trust in electoral institutions, risk aversion and cognitive control; and (2) a candidate vignette experiment on voter preferences for electoral process related messages as candidate promises, interacted with candidate identity.

  • Survival and Financial Literacy in Investment Decisions Later in Life
    Last registered on April 29, 2026

    This study evaluates the impact of providing information on longevity and financial literacy on individuals’ expectations and economic decisions. We conduct an incentivized online randomized controlled trial among approximately 3,600 UK residents aged 50–70, recruited via the Prolific platform, with data collection planned for April–May 2026. Participants are randomly assigned to receive: (i) information on age- and gender-specific survival probabilities, (ii) information on the returns and risks of financial investments, (iii) both types of information, or (iv) no information (control group). The study examines whether individuals update their beliefs and decisions in response to these interventions. The primary outcomes are (i) the gap between subjective survival probabilities and o...

  • Measuring Worker Value Added
    Last registered on April 29, 2026

    This study measures the value of workers to firms in a developing country. The project focuses on small and medium-sized garment manufacturing firms in Addis Ababa, Ethiopia. We directly elicit managers’ willingness to accept (WTA) compensation to release specific workers for one day using an incentive-compatible Becker–DeGroot–Marschak (BDM) mechanism. This approach identifies the shadow cost of a one-day absence. The design experimentally varies the following dimensions: (i) whether a specific or generic replacement worker is offered to the firm, and (ii) whether the absence is anticipated or unanticipated. These variations allow us to test for production complementarities, firm-specific human capital, and planning failures.

  • Electricity consumers’ response to recommendations: a field experiment with solar + storage customers in Lithuania
    Last registered on April 29, 2026

    This field experiment evaluates how Lithuanian electricity consumers who have both solar panels and an electricity storage unit respond to different recommendations on how to utilize their energy systems more efficiently. Households are randomly assigned to one of four treatment groups (control, sustainability, social comparison, financial) encouraging them to store their produced electricity in their storage unit when there are the highest solar production peaks in the electricity grid. Smart meter consumption and production data are used to measure changes in 15-minute intervals. The study contributes to understanding how differently framed recommendations influence consumers' electricity production and consumption.