AEA RCT Registry currently lists 8672 studies with locations in 167 countries.
This study examines the impact of modifications to the Transferencia a Primera Infancia (TPI) in urban areas. The TPI is a conditional cash transfer (CCT) program available to households that are part of the JUNTOS program (Peru’s flagship CCT program) and have a pregnant woman or a child less than 12 months old. The study will examine the impact of increasing the benefit amount on household welfare, child health, and child cognitive development.
Information on operating costs can enable potential buyers to purchase more fuel-efficient vehicles. We test this hypothesis in a developing country setting using personalised information provision in a randomised controlled trial: we recruit respondents looking to purchase a motorcycle in Kathmandu, Nepal, and provide them information on annual operating cost-savings or five-year operating cost-savings of different models using energy labels on a unique web-based platform. We find that both information treatments were effective in improving the fuel economy of the motorcycles actually purchased by respondents, and the motorcycle that they stated they would like to purchase, with a stronger effect for the five-year operating cost savings. Furthermore, being shown the five-year operating...
This study aims to better understand how women make labor adjustments in terms of family organization and well-being. To study this, we build on a previous field experiment among female teachers with children in Switzerland where we randomly informed women about the future long-term financial consequences of having a reduced workload. The goal of this survey wave is to collect qualitative data to understand changes in family logistics and satisfaction, approximately 18 months after the original intervention. More information about the original study design can be found here: https://www.socialscienceregistry.org/trials/10399.
The role of social information in shaping decisions and behaviors is well-documented across many domains. This influence extends to workplace environments, where studies have extensively documented how relative performance feedback affects workers' effort and performance. Notwithstanding, an important question that remains largely underexplored is whether workers actually value such social information and the purposes for which it is used. This study explores the broader welfare implications of social information in workplace settings, focusing particularly on whether workers value this information for its instrumental value, how it affects morale by fostering competition, or how it gives rise to fairness concerns.
An increasing body of literature identifies consumption habits, particularly of affluent population segments, as an important barrier and key lever of climate change mitigation efforts (Creutzig et al., 2016; IPCC, 2022; Mundaca et al., 2019; Poore & Nemecek, 2018). One area of such currently unsustainable consumption habits are food consumption patterns threatening global food security due to high diet-related greenhouse gas emissions, land and water use, biodiversity loss, as well as negative health consequences (Clark et al., 2020; Crippa et al., 2021; IPCC, 2022; Scarborough et al., 2023; Willett et al., 2019). Thus, there is a growing consensus in the literature that a demand-side shift toward more plant-based diets is a key lever to sustainably change the food system and dietary p...
We study the short- and long-term impact of depression treatment on individual poverty. We also develop and test a new methodology to estimate budget shares of assignable goods.
In a Medicaid managed health care system, patients age off their parent’s electronic health record at 18 years old but are still eligible for annual “Well Child” visits until age 21. In many cases, these "adult" patients are “lost” to the health care system because the system is no longer legally allowed to coordinate care with the patient’s parents. In this work, we test approaches to engaging these patients with the health care system and encouraging them to complete an annual Well Child visit. In particular, we test whether financial incentives can increase engagement and whether a completion-based incentive that rewards patients for completing a Well Child visit, is as effective at increasing Well-Child visit completion rates as a task-based incentive that reward patients for each s...
The increasing prevalence of artificial intelligence (AI) in job application process raises questions about its influence on recruiters' perceptions and decisions. This study aims to investigate the effects of perceived AI assistance and actual AI assistance usage in application materials on recruiters' judgments of job applicants. To address this question, we will conduct an experiment involving a simulated job opening for research assistants. Lab participants, such as students, will be asked to submit their resumes, write a cover letter based on the job position and complete a technical test.The primary participants in this study will be recruiters, who will evaluate candidates after reviewing their resumes and cover letters. We will employ a 2x2 experimental design, manipulating both...
Project aim is to search Russian propaganda markers in German media which is most usable through Ukrainian refugees and determinate how Russian propaganda change or shape minds inside Ukrainian society in Germany. The additional aim is to determinate the impact of Russian propaganda to communication circle in Ukraine (relatives and friends) of Ukrainian refugees in Germain.
This study investigates the integration of artificial intelligence (AI) in the screening processes of early-stage innovations, traditionally conducted by human evaluators, across various professional and competitive settings. Through a randomized controlled trial involving around 400 participants from the MIT Solve expert internal screener team and from community leveraged startups screeners, this research explores whether AI-assisted human evaluators or AI-only evaluations enhance the efficiency and quality of decision-making compared to traditional human-only evaluations. Outcomes measured include the time efficiency of evaluations, consistency and convergence of decisions, evaluator confidence, and the overall quality of decisions across three conditions: control (no AI assistance), ...