AEA RCT Registry currently lists 11821 studies with locations in 170 countries.
We evaluate the effectiveness of a sustainable land management (SLM) training program implemented by a local NGO in Pèrèrè, north-eastern Benin. The region faces severe land degradation and declining soil fertility due to reduced rainfall, intensive farming practices, and increased use of chemical pesticides and mineral fertilizers. The intervention targets 800 maize farmers across 25 villages and will take place before and during the growing season 2026. The program includes training sessions on specific SLM practices delivered before the rainy season March-April 2026, as well as practical follow-ups in the following months on a plot identified by each farmer as particularly degraded. The 25 participating villages are randomly selected from the 50 maize-producing villages in Pèrèrè. We...
Prevailing gender norms may discourage women from entering higher-paying, male-dominated sectors by imposing social stigma and family pressure. This study implements a lab-in-the-field experiment in Mozambique to measure these social constraints and to test whether exposure to motivational narratives can influence vocational preferences. The sample consists of married women eligible for a forthcoming vocational training program. In the first stage, participants complete a structured hypothetical choice exercise in which they choose between female-dominated and male-dominated job options that differ only in income. The wage differential increases stepwise, allowing identification of a switching point that captures the implicit “social tax” associated with entering male-dominated activ...
This project will explore whether seasonal forecasts enable pastoralists to cope with long dry seasons in Turkana, Northern Kenya. This is a timely concern as the long dry season in East Africa is projected to become longer in a warming climate. (Wainwright et al., 2021) We will achieve this using an experimental evaluation of a feasibly scalable intervention co-created with local stakeholders and policymakers. Our project will test whether information reached households, whether it changed beliefs and desired actions, and finally whether it improved livelihoods and reduced losses and conflict.
This study examines how people develop trust in AI-driven resource allocation systems leveraging housing photos as a context. Using a hypothetical scholarship allocation scenario that uses AI to rank applicants based on photos of their house, we explore how the photos-based approach can help people understand both AI’s strengths and potential biases. We investigate how different types of AI errors affect trust across participants from varying socio-economic backgrounds. This work provides evidence-based insights for organizations considering AI adoption in high-stakes resource allocation decisions.
We investigate the role of customer reviews and host demographics in statistical discrimination within the sharing economy (specifically in online rental markets). Using a controlled experiment in an Airbnb-like setting, we measure how a host's race, a host's gender, and customer reviews interact to affect accommodation demand. We create fictitious listings using scraped data from Airbnb and systematically vary host characteristics across three primary dimensions in a fully crossed 2x2x2 factorial design: Host Race (Black/White), Host Gender (Man/Woman), and a Review factor (High/Low). To isolate specific mechanisms of review-based discrimination, the exact nature of the Review factor varies across three between-participant treatments, manipulating either review quantity, positive infor...
This project aims to investigate if there is agreement regarding inequality aversion among the Swedish public, political, and medical decision-makers, in a discrete choice experiment. Subjects choose between two outcome distributions, where one choice is higher in life expectancy but with a higher variance between groups in the distribution. Furthermore, we consider whether the results are affected by whether a choice is made behind a veil of ignorance or not, a relevant distinction for decision makers who in practice make their decisions without a veil of ignorance. An information experiment is then performed to assess whether decision-makers can be influenced to make choices more in line with the general public's preferences. Half of the decision-makers are provided with the most popu...
The Paraguayan economy has a high level of labor and business informality, which is one of the main challenges for the country's productive and fiscal development. According to recent estimates by the Permanent Household Survey (EPH), approximately 65% of workers work in the informal sector, without access to social security or compliance with tax obligations. This situation limits collection, reduces labor protection, and makes it difficult to consolidate an equitable tax system. In response to this challenge, the Paraguayan State, through the Dirección Nacional de Ingresos Tributarios (DNIT), implemented the Simplified Regime for Small Businesses (RESIMPLE), in order to facilitate the incorporation of microentrepreneurs into the formal system through simplified procedures and redu...
The fall-army worm (FAW) increases food insecurity and income uncertainty in Uganda due to its sizeable negative effect on maize yield. Agroecological Integrated Pest Management (IPM) provides a promising approach to mitigate maize damages while minimizing environmental harm from control methods. However, agroecological IPM is also costly for farmers in terms of initial investments and maintenance (labor) costs. This study evaluates whether signaling opportunities at different costs may help overcome these costs and impact adoption decisions of an agroecological IPM package. We also compare the effect of signaling to the effect of loss/gain framing for a material incentive. In addition, we determine the effectiveness of an agroecological IPM approach on agricultural outcomes. The study ...
Through the lens of an interdisciplinary approach -embracing quantitative gender economics, innovation research and gender studies- interactive theater activities are planned with the aim to elicit biases and obstacles to inclusion and diversity in academia, as well as to raise awareness. Building on these interactive theater experiences, a short online experimental survey will be designed, and implemented, to explore attitudes and opinions about gender inclusion in academia.
This study evaluates the impact of promoting the use of GPT EconometríaUAI, a conversational AI assistant, on undergraduate students’ learning outcomes in econometrics. The intervention will be implemented during the second semester of 2025 at Universidad Adolfo Ibáñez across seven sections of the Econometrics course. Students will be individually randomized within sections into treatment and control groups. The treatment group will receive a series of emails encouraging the use of GPT EconometríaUAI for study support, while the control group will not receive such promotion (placebo emails may be used). The primary outcome is student achievement on the first midterm exam. Secondary outcomes include satisfaction with the course and students’ perceptions of their learning and study exper...