AEA RCT Registry currently lists 12160 studies with locations in 170 countries.
Female labor force participation in Jordan remains low despite women’s educational attainment, as elsewhere in the region. Could misperceived social norms about the support and increasing opportunity for Jordanian women among both households and employers keep women from reaching their potential and desired employment? An information treatment, as an experimental randomized component of this survey, showcases success stories from the Jordanian private sector relating to female employment and gender-inclusive practices, or featuring export-readiness-related success stories. This allows us to assess the effect of that information treatment on the employers' responses. The objective is to provide evidence-based advice to employers regarding labor and export policies.
The intervention provides information and two rounds of training on organic farming practices. The intervention is implemented as a randomised controlled trial (RCT). Whereas a first study has focused on the short term effects with respect to knowledge, perceptions, awareness and experimentation (Grimm and Luck, 2023), this study will take a longer horizon and focus an the adoption of organic farming practices, conversion from conventional to organic farming and the effects on farmers’ welfare conditional on adoption. Welfare will be measured through agricultural profits and revenue, nutritional security, subjective wellbeing and health. This study can rely on a four-wave panel data set (baseline, two midline and endline survey) and substantial qualitative field research.
In a clustered randomized field experiment, we study if a novel Generative AI (GenAI) tool accompanied by a methodological manual for teachers aimed at fostering student curiosity has a medium-term effect on curiosity and standardized test scores of students. The intervention is aimed at 8th grades of Czech and Slovak schools (N=124 schools, approximately 3,600 students who are aged 13-14). We collaborate with Scio Research, a subsidiary of a major Czech educational institution Scio, that develops the AI tool and carries out the randomized field experiment. To measure curiosity, we develop a novel behavioral measure building on psychological models of deprivation (D-) and interest (I-) type epistemic curiosity. We measure the effects of the intervention on student curiosity and on stand...
This project proposes to systematically study two key properties central to non-Expected Utility (EU) decisionmaking models: subproportionality and changing patterns of risk tolerance with probabilities. Subproportionality reflects evidence that when facing a choice between a relatively high probability of a moderate prize and relatively low probability of a high prize, individuals are more likely to choose the latter alternative as both probabilities are scaled down. Changing patterns of risk tolerance reflects the classic finding that in choices between a certain amount and a risky lottery, choices often appear risk tolerant at low probabilities, and risk averse at high probabilities of winning in the risky lottery. Existing evidence on these two phenomena are largely derived from se...
We study the effect of narrative videos on attitudes toward Ukrainian refugees among Lithuanian adults. We randomly assign approximately 1,500 respondents to one of four 90-second videos describing a refugee journey: three narrative arms (empathy, shared history, economic) and a control. The three videos share a single storyboard and differ only in voice-over. After the video, respondents complete a short decision task involving a current Ukrainian refugee policy proposal, in which they observe how others have responded before forming their own view. Outcomes include the policy choice, a feeling thermometer toward Ukrainian refugees, an incentivised donation, and additional policy-support items. We re-contact respondents one month and six weeks after wave 1 to track how effects evolve.
Many economic and policy decisions involve trade-offs between the well-being of individuals present today and that of individuals living in the future. Enke et al. (2022) introduces the concept of moral universalism, defined as the extent to which individuals exhibit the same level of altruism and trust towards strangers as they do to in-group members. Building on this framework of altruism, our study aims to measure intertemporal universalism, which refers to the extent to which people exhibit similar levels of altruism towards strangers who live and enjoy material benefits at different moments of time. In this study, we focus on the present and the future (rather than the past). Our experiment is designed to rigorously vary the dates at which subjects participate in the study and rece...
In Malawi, more than 80% of students at the end of grade 4 are unable to read a single familiar word (World Bank, 2018). High pupil-teacher ratios and limited resources constrain teachers’ ability to provide individualised instruction, contributing to the learning crisis in foundational literacy and numeracy. Digital solutions like personalised adaptive learning (PAL) can deliver high-quality, differentiated instruction at scale, but infrastructure and fixed costs have historically limited their reach in low-resource settings. The BEFIT program addresses infrastructure challenges by providing a comprehensive package that includes solar energy, tablets, and training, thereby lowering these fixed costs to support scalable implementation. The Building Education Foundations through Innov...
Microfinance institutions (MFIs) serve as a crucial financial bridge for underserved populations, particularly in developing nations where traditional banking services are inaccessible. However, these institutions often face significant operational challenges, including the high costs associated with administering and recovering small loans. Intensive borrower monitoring, frequent field visits, and default risks contribute to higher interest rates and operational costs, making borrowing increasingly expensive for low-income individuals. This research aims to address the challenges of high operational costs by proposing a behavioural experiment that utilises faith-based nudges to enhance cost efficiency. This approach enables MFIs to lower interest rates or Islamic MFIs to reduce their m...
Can synthetic experiments with AI agents serve as rigorous research tools for generating insights, testing hypotheses, and informing managerial decision-making under uncertainty? This pre-analysis plan specifies a comprehensive validation study comparing 16 persona generation methods across a 2×2×4 factorial design: two base sampling algorithms crossed with a clustering algorithm and four constraint configurations. Each of the 16 persona generation methods generates a sample of 800 college undergraduate students who serve as synthetic experimental subjects. The 16 samples undergo the identical 2×2 factorial experiment (Causal Reasoning Training × ChatGPT Access) previously conducted with real human participants, with participants randomized across the four experimental conditions (200 p...
This study characterizes MBA students' mental models of monetary incentives, meaning their subjective beliefs about how different compensation contracts affect employee behavior.