AEA RCT Registry currently lists 12826 studies with locations in 172 countries.
This online randomized crossover experiment examines how alternative collaboration arrangements and team incentive structures affect effort and performance in a visual retail task. Each participant completes four incentivized rounds under four collaboration conditions presented in a randomized, counterbalanced order. We plan to recruit up to 325 participants, targeting at least 264 analyzable participants.
Despite constituting the majority of firms in Iraq and contributing to nearly 90% of private-sector employment, small and medium-sized enterprises (SMEs) remain underdeveloped. SMEs have the potential to act as catalysts for economic growth and development in Iraq and other post-war settings, aiding in recovery and generating resources to address socio-economic challenges associated with the return and reintegration of displaced populations. In collaboration with the International Organization for Migration (IOM), we are currently running an RCT involving SMEs that are seeking to expand substantially their business operations, and with a clearly specified set of investments and funding requirements.
We study how an intervention that teaches and encourages Instagram users to curate their own feed affects their content consumption, well-being, political attitudes, and gender norms. The study is a two-wave, individually randomized controlled trial with active Instagram users aged 18 to 35 from the United States (US). In the baseline wave, participants complete a survey and share data on their Instagram content; a randomly assigned treatment group is then shown how to use two built-in curation tools. Roughly six weeks later, an endline wave re-measures the same outcomes, measures further outcomes, and collects the same data on consumed content. We estimate intention-to-treat effects with baseline covariate adjustments and local average treatment effects using random assignment as an in...
Globalization and technological change are rapidly transforming the workplace, generating demand for new skills while rendering other skills obsolete. In this context, having access to training is essential for workers. This study seeks to analyze the influence of age on the likelihood of being accepted into vocational training programs and the impact of this training on hiring probabilities. We hypothesize that age-based discrimination may exist, supported by existing evidence of hiring biases against older workers. Studies reveal recruiters often have negative perceptions of older workers’ cognitive abilities, social and technical skills, flexibility, and salary expectations, leading to an overall negative view of their productivity. To test this, we will send fictitious applicatio...
This study examines whether generative artificial intelligence (AI) affects gender differences in employers’ performance beliefs and hiring decisions. The experiment uses applicant profiles generated from a previously conducted job-seeker experiment in which participants completed mathematics and logic tasks either with or without access to generative AI. Participants acting as employers will be randomly assigned to an AI or no-AI applicant environment and will make ten incentivized hiring decisions between pairs of applicants. They will observe applicant characteristics, including gender, age, high-school arts/science track, intermediate-task performance, and AI-use condition, and will predict each applicant’s subsequent advanced-task performance before making hiring decisions. The exp...
This study examines whether perceived government corruption and national identity causally affect political trust and related political attitudes among Canadians. We use an experimental design that induces exogenous variation in these two constructs to identify their downstream effects on trust, attitudes toward political institutions, and related policy views.
Pakistan has one of the lowest rates of female labor force participation in the world, and its garment industry is mostly male even though the same industry employs large numbers of women in comparable neighbors like Bangladesh, Vietnam, and Cambodia. We test whether this is held in place by what people on each side of the labor market believe and know. Factory managers may be wrong about how women perform on a production line, and about what other factories in their district already do. Households may weigh the costs of a woman working against a situation they have never examined, and may not know which nearby factories are hiring. We work with 200 garment firms in Sialkot, Faisalabad, and Lahore, each paired with the residential census block closest to it, and with 20 households in...
This randomized controlled trial examines whether generative artificial intelligence (AI) access during learning improves academic performance and changes achievement gaps by prior preparation. Conducted in an Introductory Econometrics course at City University of Macau with approximately 120 third-year undergraduates, it includes consenting enrolled students. After a supervised diagnostic test and collection of pre-treatment GPA, participants are individually randomized in roughly equal proportions through blocked randomization to fixed AI-access or control groups. Both groups complete identical supervised weekly tasks with equal time allowances and non-AI materials; only the treatment group may use AI. Common closed-book midterm and final examinations prohibit AI. Primary analyses est...
We conduct a field experiment in China to estimate the value of shorter workweeks and to examine whether these valuations vary nonlinearly with workweek length. We further examine whether these valuations vary systematically with how participants expect to use the additional nonwork time. Finally, we explore heterogeneity in these valuations across individual characteristics.
We conduct a field experiment in China to estimate the value individuals place on public-sector employment. We further examine potential sources of this value, focusing on marriage-market returns, employment security and benefits, career prospects, social and family recognition, and earnings expectations. Finally, we explore heterogeneity in the valuation of public-sector employment across individual characteristics.