AEA RCT Registry currently lists 12635 studies with locations in 171 countries.

Most Recently Registered Trials

  • Overcoming Information Friction in Tertiary Education: Evidence from a Digital Intervention in Bangladesh
    Last registered on August 25, 2026

    Access to higher education can improve career opportunities and economic mobility, but many young people in developing countries lack reliable information about university admissions, scholarships, and financing options for their studies. This study examines whether providing targeted information can help students make better decisions about higher education in Bangladesh. Using a cluster-randomized controlled trial (cRCT) across 175 BRAC branches in 12 districts of Bangladesh, we evaluate the effects of digital information packages covering university admissions, scholarships, accommodation, and part-time work opportunities. We assess their impact on students’ educational aspirations, university application preparedness, tertiary enrollment, and engagement in income-generating activiti...

  • Inspiring the Next Generation of Students in Higher Learning
    Last registered on August 25, 2026

    This research employs an artefactual framed-field experiment with students at the investigating University to assess how representation affects individuals’ perceptions of their own academic ability as well as their likelihood to pursue higher education. The experiment also investigates participants’ perceptions of the likelihood that their peers will pursue further education, by gender. Participation is open to current University students at the investigating University across all degree levels and academic fields. Participants will view a video depicting a panel of notable academics. Treatments will vary across the panel depicted with regards to the gender diversity of the academics shown. Participants will be asked a series of questions both before and after the video is shown to...

  • Remote Care for Remote Areas: The Impact of Telehealth in Rural India
    Last registered on August 25, 2026

    Remote areas in low-income countries have poor access to quality healthcare. One challenge in developing state capacity in remote areas is the difficulty in attracting skilled workers (like doctors or nurses), to which a common solution is to engage less skilled workers (community health workers). A new solution is to bring higher-skilled professionals to rural areas through digital technology. Telehealth, which connects patients to qualified healthcare professionals via phone, provides a new opportunity for governments to reach remote areas with high-quality healthcare services at relatively low cost. Although the popularity of telehealth has dramatically increased since the onset of the COVID-19 pandemic, there is to date no causal evidence of its impacts in low-income countries. ...

  • Testing Multiple Multi-Attribute Choice Models
    Last registered on August 24, 2026

    This paper experimentally tests multiple multi-attribute choice models such as a range normalization model and a pairwise normalization model in a consumer context. The experimental design generates choice sets that can distinguish the models as each model predicts a distinct set of demand types. Specifically, we do comparative statics by investigating how choice probabilities of alternatives vary between choice sets. Moreover, we do a cross-validation exercise by constructing a maximum likelihood in the spirit of Harless and Camerer (1994).

  • Making inequality unacceptable: an experiment on fiction reading and prosociality
    Last registered on August 24, 2026

    A necessary condition for reducing inequality is the social condemnation of it. In fact, policies that aim to reduce inequality can only be effectively implemented if it is considered unacceptable by citizens. Thus, the central question of this research project is: Does fiction reading causally increase prosociality? The hypothesis we work with is that art, in general, and fiction reading in particular, can be one of the tools that helps us change social norms to make inequality less socially acceptable. We randomize participants into two courses: a fiction reading course and an behavioral economics for beginners course with the same intensity. Both courses last for 4 (pilot) to 6 (experiment) weeks. After the courses we use economic games to elicit participants preferences and measu...

  • Can Religious Framing Rescue Institutional Signals? Experimental Evidence on Norm Change in a Low-Legitimacy Context
    Last registered on August 24, 2026

    A growing body of evidence demonstrates that laws and institutions shape social norms — not only through enforcement but through their signalling function: communicating what is socially acceptable and legitimising or delegitimising group identities in the public sphere. This signalling effect is theorised to be especially powerful when institutional signals are reinforced by religious authority, yet causal evidence from low-institutional-legitimacy, high-religious-salience contexts remains scarce. In contexts such as Pakistan, where the credibility of secular state institutions is constrained and Islamic authority operates as the primary mechanism of norm legitimation, understanding how religious framing modulates the effect of institutional signals on public behaviour is both theoreti...

  • Gain-Loss Framing and Feedback Visibility in Financial Decision-Making Under Uncertainty: A Randomized Experiment
    Last registered on August 24, 2026

    This study investigates how individuals perceive and respond to financial risk under uncertainty, using an incentivized 24-month simulated personal loan repayment task. Participants recruited via Prolific are randomly assigned to one of four conditions in a 2×2 between-subjects factorial design, crossing (a) outcome framing (the same financial information presented as gains vs. as losses) and (b) visibility of a running performance score (displayed vs. hidden) throughout the task. Each simulated month, participants decide how much to repay toward a fixed loan installment while managing income, expenses, and a sequence of life events common to all conditions. Behavioral outcomes — repayment amount, overdraft usage, and a composite monthly performance score — are recorded automatically ea...

  • Walking with the Enslaved: The Effects of Memorializing Racial Injustice in the Contemporary United States
    Last registered on August 24, 2026

    How does knowledge of past atrocities shape support for contemporary redress policies? More specifically, how do public memory projects shape political attitudes and support for transitional justice mechanisms? While lacking specific knowledge of past atrocities can be associated with denial of ongoing inequalities, recent research on the effects of memorializing past atrocities has shown that these efforts can increase support for democratic institutions and decrease support for previous repressive regimes. We build on this stream of research by exploring the effects of memorialization efforts across a long time horizon: the atrocities committed in the United States as part of the transatlantic slave trade and subsequent institutionalization of chattel slavery that have reverberated th...

  • Misguided Inference and Asymmetric Correction
    Last registered on August 24, 2026

    This study investigates how overconfidence and underconfidence about own ability shape inferences about the economic environment when outcomes depend on both ability and the environment. We focus on a setting where individuals can switch between environments. We test the hypothesis that overconfident individuals are more likely than underconfident individuals to select environments they perceive as more ability-contingent, and that this selection generates asymmetric belief correction (i.e., overconfident participants correct their biases more than underconfident participants do).

  • AI Integration in Hiring: A Randomized Experiment
    Last registered on August 24, 2026

    This study employs a 2×2 factorial randomized controlled trial to examine the effects of AI skills training and AI-assisted CV evaluation on recruitment outcomes and subsequent employee performance. Applicants are randomly assigned to one of four groups that vary whether they receive AI training and whether their applications are screened using AI-assisted CV evaluation or conventional human review. Applicants assigned to the training arms complete an AI skills module prior to the recruitment process, while applicants in the AI-screening arms have their CVs initially assessed by an AI tool before final review by recruiters. This design enables us to separately estimate the causal effects of AI training, AI-assisted recruitment, and their interaction. Specifically, it allows us to a...