AEA RCT Registry currently lists 8599 studies with locations in 167 countries.

Most Recently Registered Trials

  • Assessing the Impact of Community Center Interventions on Social Cohesion in Conflict-Affected Areas of Tripoli
    Last registered on April 26, 2024

    This study focuses on the critical role of community centers in nurturing social cohesion, particularly in conflict-affected regions. The research is situated in Jabal Mohsen and Bab al-Tabbaneh, neighborhoods in Tripoli, Lebanon, known for their distinct demographics and complex historical narratives. Against the backdrop of Lebanon's socio-political dynamics, exacerbated by the presence of displaced populations, this study aims to evaluate the impact of a community center managed by women in enhancing social cohesion among its users. Employing a mixed-methods approach, the research combines an impact evaluation with in-depth interviews, and focus group discussions with women volunteers, community members, and key stakeholders. The study objectives are twofold: first, to assess the ext...

  • Financial Constraints to Exporting: Experimental Evidence from Rwanda
    Last registered on April 26, 2024

    Export-led growth has long been seen as a key to unlocking structural transformation. In pursuance of this goal, low-income country governments often enact policies to encourage firms to overcome barriers to exporting, such as subsidized credit designed to ease financial frictions. In this project, we propose one of the first randomized controlled trials of one such policy. We partner with Rwanda’s Ministry of Trade and Industry, as well as the Development Bank of Rwanda (BRD), to evaluate Rwanda’s Export Growth Fund (EGF), which provides large subsidized loans to exporters and potential exporters at preferential interest rates. We generate exogenous variation in loan take-up by partnering with the BRD to conduct a door-to-door campaign with randomly selected large and medium-sized firm...

  • Eliciting Preferences for Workplace Characteristics
    Last registered on April 26, 2024

    In this study, we use an experimental survey design to elicit individuals' preferences for workplace characteristics and knowledge about workplace compensation packages.

  • Automation Risk From AI Affects Young Adults Occupation Choice
    Last registered on April 26, 2024

    I first construct a theoretical model to explain and predict the outcome. The intuition behind the model is simple: underestimating the automation risk will force you to revise your beliefs, leading to a lower probability of entering a specific occupation. I focus on three occupations: Teachers, nurses, office clerks, and economists. It is important to understand the determinants for labor supply in these occupations and focus on automation risk since nobody has provided causal evidence that automation risk is a determinant for labor supply in these occupations. To investigate my research question, I leverage an online experiment and pay respondents from Prolific to participate in my study. Respondents answer a survey with questions related to the topic, such as the attractiveness, and...

  • Behavioral Approaches to Incentivize Gift Card Redemption among Kindergarteners' Parents in Chicago II
    Last registered on April 26, 2024

    This experiment plans to explore how behavioral tools affect parents' redemption rate of an online gift card. From 2022 to 2023, the About Technology in Math Education Project (About TIME) by us, the Behavioral Insights and Parenting Lab at the University of Chicago, recruited over 1000 families of preschoolers in the Chicago area for a lab experiment and a field experiment to study if educational technology benefits preschoolers' math learning experience. We offered participants online gift cards to incentivize participation. The values of gift cards include $25, $40, and $75. As of April 2024, 283 family parents had yet to redeem the gift cards. To increase the gift card redemption rate with two behavioral approaches, we plan to separate these parents into one treatment group and one ...

  • Fighting gender stereotypes through narratives in gender roles and growth mindset- a RCT in Uruguay
    Last registered on April 26, 2024

    This research project investigates how the exposure to different role models impact children’s interest in STEM fields. We design a field experiment integrated within a Computational Thinking (CT) teaching proposal in Uruguay to explore two critical hurdles in children’s interest in STEM: gender and growth mindset beliefs. We will manipulate a teaching module called ‘Write your own adventure’ - provided in the initial level of CT - and randomly assigned classes to one of four different biographies of accomplished scientists. These biographies will manipulate (i) either the gender (male or female) scientist, or (ii) the extent of growth mindset (whether they succeeded or they had to overcome academic struggles since the young age). We will assess the impact on children’s interest in STEM...

  • Do We Need Another Expert? The Willingness to Pay for Economic Narratives
    Last registered on April 26, 2024

    Economic Narratives are a way of explaining current economic phenomena. Typically provided by so-called "experts", these narratives can impact individuals’ expectations about the economy. What is unknown so far, however, is whether those narratives about the economy are also finding relevant demand in the population. In this paper, we provide novel evidence on the population’s willingness-to-pay for expert narratives about the macroeconomy. In a first step, we asked renowned economic experts from the United States about their narratives about a current economic phenomenon, the recent surge in the risk of a recession forecasted by the Federal Reserve. In a second step, we offer participants in a large-scale survey representative of the adult population in the United States the opportunit...

  • Automation Risk From AI Affects Young Adults Occupation Choice
    Last registered on April 26, 2024

    Will the possibility of AI replacement affect career decisions for young adults? We test this using an RCT with information treatment. I leverage an online experiment to investigate how automation risk affects the attractiveness of occupations and the desirability of entering a specific occupation. The experiment consisted of one treatment group and a control group. I am modifying a simple model by Wiswall and Zafar (2018), which predicts a lower probability of entering an occupation if the automation risk for the occupation is underestimated. While the outcome may be intuitive, I am the first to study how occupational automation risk affects the desirability of entering a specific occupation. Compared to previous work on automation’s effect on labor markets, I go one step further a...

  • Motivating and supporting load shedding.
    Last registered on April 26, 2024

    This study run by Electricité de France on a sample of its clients evaluates the impact of several measures on load shedding, i.e. voluntary reduction in demand for electricity, designed to reduce load at peak times, and if possible shift it to non-peak time periods. The study's outcomes of interest include: - demand reduction at designated peak time - demand shifting to other time frames - modes of adaptation, and habit formation by households: does behavior change on specific peak dates, or across the board? - how the experiment changes consumer's attitude to peak-pricing programs in which the price of electricity can vary significantly with time A specific design choice is to include multiple nudges in spite of the fact that the study is likely not powered to disentangle in...

  • Gender Bias in Beliefs about Performance
    Last registered on April 26, 2024

    When mean beliefs about men and women are elicited, often there is very little difference. But in line with previous literature on perceived variance of men vs. women, we aim to investigate whether the extremes of belief distributions over performance inform hiring decisions. Our laboratory experiment is designed to first test whether men and women are hired disproportionately for jobs with different expectations of performance. Additionally, we elicit beliefs about the variance of men and women's performance in order to determine whether the shape of belief distributions gives insight into why we might see a gender gap in hiring.