AEA RCT Registry currently lists 12677 studies with locations in 171 countries.
This pre-analysis plan describes online survey experiments conducted in Germany to study preferences over relative income within couples. The surveys, implemented in partnership with Bilendi, consist of three distinct modules: (i) a qualitative satisfaction survey that studies the qualitative nature of partners’ preferences over relative income, (ii) a quantitative choice survey experiment that identifies the magnitude of these preferences, and (iii) a vignette-based beliefs survey experiment that examines potential mechanisms underlying them. The plan pre-specifies the survey design, sampling procedures, exclusion restrictions, outcome measures, and estimation specifications.
Here's the complete, final abstract — all five paragraphs assembled, with the three fixes applied and everything else left exactly as it was since it didn't need changing. 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...
Our experiment involves participants designing a product (a web game) with an AI coding agent to sell to other participants.
We use a series of survey experiments embedded over multiple rounds of a panel survey to study the sources, causes, and remedies of measurement error in survey data. The topical focus of our surveys is on living standards, extreme climate events, and their interaction with welfare at the household and intra-household level. Within each survey round, we randomize survey mode (in-person vs. over the phone), collect a series of data quality proxies, and conduct a range of experiments to study mechanisms.
The northern region of Sweden faces a strong demand for employees across multiple industries and the Swedish government is actively trying to create incentives for unemployed individuals to relocate to these regions. The Swedish public employment service has been assigned to evaluate if vacancy referrals to job openings in the northern regions have a positive effect on the probability that unemployed individuals apply to these jobs and also to a higher degree relocate to these regions. A randomized controlled trial has been implemented where job-seekers in the treatment group are given vacancy referrals to job-openings in the northern regions. Job-seekers in the treatment group are randomly divided between vacancy referrals mandatory or only suggestive to apply for. The control-group re...
Artificial intelligence is increasingly integrated into high-stakes decisions—investment, hiring, healthcare, military targeting—making human oversight both practically important and increasingly mandated by regulation. Whether people supervise an autonomous artificial agent differently from another human is therefore a crucial question: excessive scrutiny undermines the efficiency gains that motivated AI integration, while overreliance defeats the purpose of the human-in-the-loop. This project investigates whether individuals exhibit AI aversion when overseeing decisions with real consequences for others, and disentangles two mechanisms: the black-box effect, arising from uncertainty about the AI's decision-making process, and intrinsic AI aversion, a reluctance to rely on algorithm...
This study evaluates a lightweight strategy to improve fall-prevention awareness and safety habits among older adults. A group of seniors (aged 60+) and their caregivers in China will participate. The control group will receive standard, general safety advice. The treatment group will receive personalized risk feedback (with one treatment group receives positive framed feedback and another group receives negative framed feeedback) and choose one simple, low-pressure safety habit to try (such as clearing a walkway or using a nightlight). Following a tracking period, we will compare both groups to see if this practical method effectively motivates seniors to overcome risk denial, seek help, and adopt safer daily habits.
This pre-analysis plan describes a randomized controlled trial evaluating an AI-powered mental health chatbot among undergraduate students in India’s public universities. Using baseline data from 4,489 students across seven colleges in Delhi, we document a high prevalence of depression, anxiety, and loneliness, and low rates of mental health care-seeking. Classrooms are randomized to a control group or to receive four weeks of access to the chatbot. Within treated classrooms, students are cross-randomized to alumni endorsements and habit-formation streaks. The plan pre-specifies intent-to-treat estimates of the effects of chatbot access and the additional interventions on adoption and engagement, care-seeking behavior, stigma (both own and perceived), willingness to pay for therapy, and...
This study uses a survey experiment to measure how students and workers in Brazil perceive and value public employment relative to private employment. Participants report baseline beliefs about wages, job stability, and probabilities of entering public and private employment under different search strategies. They are then randomly assigned to receive aggregate labor-market information about one of these topics or to a no-information control condition. After the information module, the survey elicits expected wages, reservation wages, cross-sector switching thresholds, career-path probabilities, willingness to pay for additional information through a Becker-DeGroot-Marschak (BDM) mechanism, and choices over hypothetical jobs in a discrete choice experiment (DCE). The main hypotheses ...
Do people account for payoff-irrelevant but signal-relevant variables (i.e., nuisance variables) when interpreting information, and does ego-relevance influence this inference process? We study nuisance neglect in a transparent two-component signal-generating structure in which a payoff-relevant rank state (X) and a payoff-irrelevant but signal-relevant nuisance variable (Y) jointly determine the observed signal (S). In the experiment, each subject completes two parallel tasks in randomized order: an IQ-style task, which is ego-relevant, and a temperature-guessing task, which is ego-irrelevant. In each task, we elicit subjects’ prior beliefs about their rank state, provide a signal generated by a known rule that combines the true state and the nuisance variable, and then elicit po...