AEA RCT Registry currently lists 12910 studies with locations in 174 countries.
Over the past two decades, the United States has witnessed high-profile cases of police brutality (e.g., the murder of George Floyd in 2020) which has shaken public confidence in the ability of police to protect the public. Consequently, there has been interest in reducing how and when officers use force without compromising the department's commitment to public safety. One way to achieve this goal is to hire officers who already demonstrate the ability to make accurate decisions in high-stakes scenarios. We will conduct a pilot, laboratory-based, incentivized experiment to explore whether and how applicants with low predictable error rates in deadly force decisions and strong cognitive ability respond to different types of recruitment campaigns. The goal of this pilot study is to devel...
Performance declines within individuals over the course of cognitively demanding tasks have been documented across diverse settings—from students performing worse on later questions of high-stakes exams to physicians making more diagnostic errors later in their shifts—yet our understanding of why individual performance deteriorates remains limited. We study a potential driver of performance declines in an online experiment.
This study will evaluate the effectiveness of the Remote Triple P (Positive Parenting Program) Level 4 Group intervention for primary caregivers of children aged 4 to 12 in the Metropolitan Region of Chile. While Triple P is an evidence-based behavioral family intervention with widespread global evaluation, a significant gap remains in the literature regarding its effectiveness within Latin American populations. To address this gap, this study will conduct an individual-level randomized controlled trial (RCT) with a target sample of 400 families. Eligible participants will be randomly assigned in a 1:1 ratio into either a treatment group receiving the free 8-week online program (combining synchronous group sessions and individual consultations) or a pure control group. Randomization wil...
This paper examines how artificial intelligence can enhance administrative efficiency in public service delivery, focusing on the processing of building permit applications. We evaluate an AI-assisted system specifically designed and implemented to experimentally assess its impact on bureaucratic performance. Using a field experiment in Chile involving architects reviewing building permit applications under conditions that mimic the work of municipal reviewers, the platform integrates AI tools into the review process to support technical assessment while preserving regulatory discretion. The analysis focuses on how AI adoption affects processing times, workflow efficiency, and administrative congestion—key sources of delay that generate economic costs for the construction sector and bro...
Women remain significantly underrepresented in science, technology, engineering, and mathematics (STEM) education and employment in the Middle East. This study investigates the barriers preventing female students in Grades 10 - 11 from selecting specialized STEM high school tracks and evaluates the effectiveness of two interventions designed to close this gap. Qualitative evidence from focus groups with students, parents, and teachers reveals that while 83% of girls report enjoying STEM subjects, positive attitudes fail to translate into enrollment decisions due to persistent social norms, family influence toward gender-conforming career paths, and limited awareness of STEM's educational and labor market returns for women. To address these barriers, we implement two interventions that a...
This randomized evaluation studies how Grade 10 students in government-aided schools in Maharashtra, India choose diploma/junior colleges and academic tracks (Science, Commerce, Arts, Diploma, ITI). While these decisions substantially influence future educational and labor market trajectories, many students make these choices with limited knowledge of admissions requirements, cutoffs, and future opportunities. We will conduct a school-level randomized controlled trial in approximately 74 schools. In treatment schools, students will receive a guided search worksheet that helps them identify feasible diploma/junior college-track combinations and record key information on eligibility criteria and reservations-category cutoffs, followed by a quiz. Treated students also receive light-tou...
This project evaluates the potential for technology to alleviate constraints on local tax capacity. Working in collaboration with a local government and a local private firm in Ghana, the project randomizes the availability of technology for tax collectors in the field. Collectors face several constraints to achieve their objectives of delivering bills and collecting tax payments which technology may partly remove. In addition, we study whether the presence of technology impacts property owners' belief about capacity of the state and engagement with local officials.
Lack of information about energy usage inhibits efficiency in energy conservation but can be overcome by providing simple, low-cost information. This study uses a randomized control trial to test the effect of knowledge information on the peak-avoidance behaviour of electricity consumption, with a design of various rounds of household-level message sending to test the mechanism for persistence in behaviour and habit formation process. We anticipate that our design and findings will help develop low-cost and long-lasting interventions for guiding households to choose peak-avoidance behaviour.
To balance peak and off-peak passenger flows and enhance travelers' riding experience, this experiment plan aims to innovate demand management methods, starting from the demand side, using price incentive policies to induce travelers to use the subway during off-peak hours. Achieving success in changing daily habitual behaviour often requires persistent effort. Incekara-Hafalir et al (2023) highlight the importance of self-selection in incentivising persistent effort. Further, this study will examine the mechanism of self-selection. We mainly plan to study the effectiveness of 2 kinds of mechanisms, one-time self-selection between all-or-nothing and piece-rate, and multiple-time self-selection, to incentivize change of repeated daily travel behaviours over time.
Low- and middle-income groups are historically less responsible for climate change compared to high-income groups, yet suffer the most severe consequences. Hence, they demand a fair distribution of costs to combat climate change. Among the most important factors that would encourage people to adopt more climate-friendly behaviors is that, especially the most well-off, also change their behavior. The primary objective of this research project is to examine how the perception of wealthier individuals changing their behavior influences pro-environmental behaviors. Therefore, we will compare feedback about the changes of the highest-income individuals in Europe with the average-income individuals. The study will be conducted within the EU-27 member states with a focus on regional differences.