AEA RCT Registry currently lists 9592 studies with locations in 169 countries.

Most Recently Registered Trials

  • Breaking the Bubble
    Last registered on November 15, 2024

    In this project, we study the effects of interactions between racial and political groups in work place settings. We organize job trainings on an online platform in Brazil that expose participants to a co-worker of either the same race and political identity or to a co-worker of a different race or political identity. We measure the effect of the interaction on productivity and preferences for discrimination.

  • Interactive Voice Response (IVR) based health information for antenatal and postnatal care services in rural Bangladesh
    Last registered on November 15, 2024

    Improving pregnant women and newborn babies’ health care services in resource-poor settings, particularly in remote communities in many developed countries and in most developing countries, remains an important challenge. We implement a technology-assisted healthcare intervention focusing on pregnant women in rural Bangladesh. The technology involves a simple phone-based automated calling system, called interactive voice response (IVR), through which we offer telehealth support to women from their first/second trimesters of pregnancy. The telehealth support enabled participants to are born. We examine women’s health-seeking behavior during the antenatal and post-natal period and its impact on maternal and child physical and mental healthinteract with the message system using the keypad ...

  • Does information about tax shifting shift tax preferences?
    Last registered on November 15, 2024

    We conduct an online survey experiment in Germany designed to investigate whether individuals’ preferences for corporate taxation change when they are informed about tax shifting.

  • Teaching Mental Health: Evaluating India’s Saharsh “Happiness Curriculum”
    Last registered on November 15, 2024

    The Saharsh happiness curriculum will be implemented in grades 1-8 across Tripura public schools in the 2023-2024 and 2024-2025 school years. The curriculum consists of daily happiness classes, where students engage in mindfulness, storytelling with open-ended discussions, and reflective conversations and activities designed to help students experience happiness. This study would be the first to evaluate the effectiveness of a happiness curriculum, exploring its impact on student mental health, wellness, academic achievement, grit, self-control, and social networks. Further, this study will compare the benefits of the curriculum to the opportunity cost of reduced learning time and explore its mechanisms. In doing so, we seek to assess the value of one of the largest non-cognitive skills...

  • Upholding a Good Image: Selective Country Comparisons in the Media
    Last registered on November 15, 2024

    We run an experiment to investigate whether German journalists have a home country bias when covering a global issue, namely, environmental performance. In the experiment, they generate headlines that make comparisons between either Germany and 10 other countries or France and 10 other countries. We additionally vary the audience of the headline, either German readers or French readers. Participants choose the comparison countries from a list containing a performance ranking in three different environmental metrics. We will compare the countries chosen across the treatments to document the extent of the bias as well as to test whether the bias is demand driven.

  • Preference for the Workplace and Youth Unemployment
    Last registered on November 15, 2024

    This study designs a field experiment to explore the determinants of job preferences and their effects on job search behavior and outcomes. Using a large sample of college students in China, the study aims to provide insights into the causes of youth unemployment and potential solutions. This plan was developed prior to the formal intervention.

  • Social Class and Help-seeking Behavior
    Last registered on November 15, 2024

    Help-seeking behaviors are crucial for enhancing workers' performance in the workplace. This study aims to investigate whether and how workers from lower, middle, and upper social classes differ in their help-seeking behaviors at work. In response, this study will collect data on workers' help-seeking choices when encountering challenges in the workplace.

  • Chains of Kindness?
    Last registered on November 15, 2024

    In an increasingly hectic and stressful world, small acts of kindness are often rare, but they could impact people’s behavior in positive ways that extend far beyond the immediate moment. This study will explore whether the kindness of cashiers can indirectly influence customers’ donation behavior at the checkout. Over a period of two weeks, customers will be observed at two identical checkout counters at a supermarket, differing only in the cashier’s demeanor—one being friendly and engaging, while the others remain neutral. By comparing the increase in donation rates at each checkout between periods, we aim to investigate if a cashier’s kindness can encourage customers to act prosocial, even though it is unrelated to their immediate interaction.

  • Social Class and Help-seeking Behavior from AI
    Last registered on November 15, 2024

    Artificial Intelligence (AI) has introduced new opportunities for workers to resolve challenges when seeking help in the workplace. In this study, we aim to examine whether and how workers from lower, middle, and upper social classes influence their help-seeking behaviors from AI in the workplace. In response, this study will collect data on workers' help-seeking choices when facing difficulties in the workplace.

  • Social Class and Help-seeking Behavior from AI
    Last registered on November 15, 2024

    Artificial Intelligence (AI) has introduced new opportunities for workers to resolve challenges when seeking help in the workplace. In this study, we aim to examine whether and how workers from lower, middle, and upper social classes influence their help-seeking behaviors from AI in the workplace. In response, this study will collect data on workers' help-seeking choices when facing difficulties in the workplace.