AEA RCT Registry currently lists 12283 studies with locations in 171 countries.
This study asks whether machine learning can improve the targeting and personalization of low-cost digital "nudges" — push-notification messages sent to parents to encourage their children to use an educational app. The setting is Conecta Ideas, a free smartphone-based mathematics platform used by primary-school students across Peru. Sustaining voluntary use of such platforms is a central challenge, and short motivational messages are a cheap, scalable lever. We study two distinct decisions a platform faces: (1) personalization — WHICH message to send to each person, choosing among several alternative messages the one predicted to work best for that individual; and (2) targeting — WHETHER to message a given person at all, given a single common message, concentrating effort on those p...
We are studying Inspiring Teacher's Tools for Foundational Learning Improvement (TFLI). TFLI uses best practices from early-grade reading instruction in a structured pedagogy format, in which teachers are given teacher guides with semi-scripted, high-quality lesson plans that tell them exactly how to teach their classes. These plans are linked to workbooks, training and support from Inspiring Teachers’ employees, who are expert teachers and teacher trainers. This basic approach has been proven to be highly effective in many other interventions and contexts across Africa. TFLI adds a digital layer to this structured pedagogy approach, with teachers accessing program material and training videos via the Smart Coach smartphone app. The app will also collect high-frequency data on student o...
This paper studies covariate-dependent reporting bias of binary traits. I develop a practical method that combines a list experiment with direct measurement to estimate both overall underreporting and the characteristics and outcomes of individuals who conceal under direct questioning. I apply the method using a question fielded in the Understanding American Survey to characterize the mental health and economic outcomes of non-heterosexual individuals who report their sexual identity indirectly. Additionally, I estimate the share and characteristics of misreporters--individuals who reveal their sexual identity indirectly (but not directly).
Autistic children often experience heightened anxiety due to sensory sensitivities, social challenges, and difficulties with change. While Cognitive Behavioural Therapy (CBT) is an evidence-based treatment for anxiety, access remains limited—particularly in low-resource settings—due to shortages of trained therapists. Parent-led CBT, in which therapists guide parents to support their children, offers an effective and resource-efficient alternative. The Online Support and Intervention for Child Anxiety (OSI) programme was developed to improve access to CBT through structured and interactive digital content, with parents leading the implementation of therapeutic strategies. OSI has been successfully evaluated in schools and clinical services in the United Kingdom and has demonstrated out...
Salience and rational inattention are two established channels through which people allocate attention, while which one dominates depends on the choice environment. We plan to conduct an online experiment to study the drivers of investors’ attention allocation in a mutual fund choice task where participants allocate a fixed endowment between two funds. Our information-display design allows fund choices to reveal whether attention is guided by salient cues or by decision-relevant information. Potential manipulations include time constraints (short vs. long), the format of the timer (eye-catching vs. standard), and the incentive size (high vs. low), with participants completing multiple rounds of fund allocation tasks to capture the role of learning. Our findings will inform disclosure an...
This study investigates the determinants of successful outbound business development transactions in China’s biopharmaceutical industry. It combines transaction data from Pharmcube, firm information from Cyzone, and an experimental survey of senior executives. The observational analysis examines how pipeline maturity, asset differentiation, intellectual property strength, venture capital backing, and CEO experience relate to license-out occurrence, deal value, and contractual scope. The survey experiment randomly exposes executives to neutral information, information about Chinese firms’ financing and global-development constraints, or information about rising demand from multinational pharmaceutical companies. It then measures changes in beliefs about the license-out boom and planned a...
This paper studies a neglected form of labor-market discrimination: vertical upward discrimination. Using a field experiment, we measure the cost of discrimination over managers. Applicants choose between two otherwise identical manager-linked openings with randomly assigned salary gaps. By varying manager race and nationality across three pairwise comparisons, the design recovers the monetary value workers attach to manager identity and tests whether the local–foreign penalty is additively explained by race and nationality. We also collect pre-reveal expected-salary and job-belief measures to interpret whether the revealed authority price aligns with expected pay, perceived career opportunities, or residual preferences over authority identity. These measures are secondary and are not r...
Rapid advancements in Artificial Intelligence (AI) have sparked public debate regarding its impact on labor markets, inequality, and social mobility. The goal of this study is to understand whether economic literacy affects people's attitudes, beliefs, and policy preferences regarding those topics.
This study estimates medical students’ preferences for job attributes and their willingness to pay (WTP) for different job characteristics as they approach the labor market. We further examine whether and how peer-comparison information about altruism causally shifts these preferences. We measure social preferences with an incentivized task and elicit job-attribute preferences through a hypothetical discrete choice experiment. We first document how beliefs about one's own social preferences relate to job preferences. We then randomly provide peer-comparison feedback to test how updating beliefs—about both the population distribution of altruism and one's own rank within it—affects WTP.
Career guidance is one of the few scalable tools that targets the information frictions behind occupational mismatch in low- and middle-income countries, yet its welfare value depends on whether it works by informing jobseekers or by persuading them to act. We run a randomized controlled trial with about 4,000 jobseekers in coastal Kenya that compares human-only, AI-only, and hybrid AI-plus-human career guidance, and cross-randomizes whether AI support stops at a recommendation or adds persuasion and action support. Primary outcomes are employment and earnings, match quality, and persistence; we anchor short-run measures to long-run welfare with a surrogate index estimated in external panel data. The design uses AI as a research instrument, fixing the informativeness of advice and the s...