AEA RCT Registry currently lists 11867 studies with locations in 170 countries.
This randomized evaluation investigates the impact of a bundled contract-farming model on smallholder farmers’ productivity and climate resilience in Upper Egypt. Farmers in this region face acute exposure to climate risks, particularly extreme heat and limited irrigation, and are often trapped in a cycle of low investment and poor market access. This intervention offers credit to finance climate-resilient inputs for cash crops, coupled with guaranteed contracts and extension services. We randomly assign farmers to one of four groups: (1) offer credit only, (2) offer credit with a recommendation to participate in contract farming and extension services, (3) offer credit conditional on uptake of contract farming and extension services, and (4) control group with no intervention. This...
This study examines how AI assistance affects individuals' beliefs about their own abilities. We use a randomized field experiment to estimate the causal effect of AI assistance on individuals' perceived competence and related outcomes.
Jails admit nearly 11 million individuals each year, including a high number of inmates with mental illnesses, infectious diseases, and chronic diseases. Since the Supreme Court’s landmark decision in Estelle v. Gamble (1976), federal and state correctional systems (including prisons, jails, and juvenile detention facilities) have been constitutionally mandated to provide “reasonably adequate” health care to the incarcerated population. Yet, unlike health care systems that provide services to the nonincarcerated population, there is no legally-mandated accreditation system for health care provided in U.S. correctional systems, including jails. As a result, jails may struggle to provide needed health care services. This may result in increased morbidity and mortality in this vulnerable p...
We consider whether a salient action-identity cue can be used to increase self-nudging into different choice environments. Specifically, we test whether a consumers can be convinced to change their online supermarket ‘Sort by’ ranking from standard to an eco-ranking (from most to least environmentally-friendly). We also study the follow-through and effect of the changed product ‘Sorting’ order on grocery shopping baskets’ environmental scores. This study is designed as a framed field experiment and will utilise a difference-in-differences approach to estimate the causal effect of the interventions. We will also explore theoretical mechanisms underlying the effects and conduct heterogeneity analysis of individual specifics such as demographic and preference elicitation factors, as well a...
Take-up of safety net programs in the United States remains incomplete, even among individuals who are already enrolled in other public benefits. In Connecticut, a substantial share of Medicaid beneficiaries are likely eligible for Supplemental Nutrition Assistance Program (SNAP) benefits, but do not participate, representing a missed opportunity to improve household well-being and potentially reduce downstream health care costs. This study will investigate whether low-cost, scalable outreach can increase SNAP enrollment among Medicaid beneficiaries in Connecticut, and whether providing access to application assistance is more effective than providing eligibility information alone. We will pilot a SNAP enrollment randomized controlled trial among a sample of 250,000 households e...
The study was designed as a parallel-group, two-arm RCT conducted in strict accordance with the CONSORT 2025 declaration (Hopewell et al., 2025). A pre-test/post-test experimental design was used in the study. While participants in the Home-Based Circuit Training (HBCT) structured exercise program, the Control Group (CG) was asked to maintain their sedentary lifestyles and daily routines without any additional physical activity. A three-visit protocol was used for data collection in the study. In the first visit, participants were given full information about the study protocol. An exercise visit was also included for the participants. The second visit was used for pre-testing. After the completion of the twelve-week period, the third visit was used for post-test data collection (Figure...
A prominent stylized fact in contemporary inequality research is that countries with greater inequality of incomes also tend to be countries in which family background plays a stronger role in determining the adult outcomes of young people. This association is commonly referred to as The Great Gatsby Curve. In my research, I examine individuals' fairness views regarding equality of opportunity and intergenerational inequality in a controlled and incentivized experimental framework. More specifically, the empirical approach is the setting where participants act as impartial third-party spectators and make real redistribution decisions on initial allocations. Main research questions are as follows: First, do differences in parental merit justify unequal opportunities for the children? Sec...
This study examines package size changes. It has two empirical parts: first, we exploit supermarket scanner data by developing an algorithm to identify size changes, which allows us to provide novel descriptive statistics and study how consumer respond to size and price changes. Second, we conduct an online experiment to investigate whether consumers respond differently to these two types of changes and to test whether different ways of displaying information causally affect consumer decisions. We also examine how package size changes affect the welfare of different groups of consumers and discuss how our results relate to different public policies. The empirical analyses are guided and complemented by theoretical models.
This study evaluates the impact of an AI-powered agricultural advisory chatbot, Farmer.Chat, developed by Digital Green to enhance knowledge, technology adoption, productivity, and income among smallholder farmers in Kenya. Traditional agricultural extension systems in many low- and middle-income countries face persistent capacity and reach constraints, leaving farmers with limited access to timely, tailored information. Digital advisory tools have begun to bridge this gap, yet rigorous evidence on the effectiveness of AI-enabled solutions remains limited. We will implement a cluster-randomized controlled trial (RCT) in 600 villages in Nakuru County, Kenya, to assess the causal effects of access to Farmer.Chat on farmers’ knowledge, uptake of recommended agronomic practices, yields, and...
We conduct a randomized controlled trial targeting tenants facing eviction in Los Angeles Superior Court.