AEA RCT Registry currently lists 11768 studies with locations in 170 countries.
This study elicits risk and higher-order risk (HOR) preferences of Italian winegrowers. More specifically, we elicit risk aversion, prudence, and temperance, and test their external validity by correlating them to both stated intentions and real-world agricultural risk-management behavior. Previous work suggests a link between HOR and real world behavior (see for example Noussair et al 2014, and Schneider and Sutter 2026). Data are collected through an online survey comprising four components: (i) stated preferences regarding an innovative “green insurance” product that provides economic benefits conditional on the adoption of sustainable practices; (ii) an incentivized experimental elicitation of risk and higher-order risk preferences using 17 lottery choices adapted from Noussair et. ...
The experiment ‘Elicitation of Normative Expectations (ENE)’ examines the extent to which variations in the two-step elicitation method (e.g., Bicchieri & Xiao, 2009; Bicchieri et al. 2019; Görges & Nosenzo 2020) influence personal normative beliefs and normative expectations, i.e. the extent to which the elicitation method is robust to variations. To this end, each participant is asked about their personal normative beliefs and normative expectations regarding fairness in a dictator game. Three main characteristics are varied in eight different treatments: i) order of elicitation (before/after the task), ii) incentivization of normative expectations (yes/no), and iii) question on behavioural options (about fair share only/ about fair and selfish share). In addition, subjects participat...
Electric mobility options are expanding in developing countries, particularly so in Sub-Saharan Africa. E-moto (electric motorcycle) taxi drivers who rely on charging technology for refuelling must charge at stations that are spread out across locations, where the supply for charging may differ by station, and where drivers may have preferences over where to refuel and how long their e-motos may last on the road. In this project we examine the use of incentives to encourage e-moto taxi drivers to drive and refuel differently. We examine differences in driving behavior in the context of driver welfare and for the electric mobility network more comprehensively.
As electric vehicle (EV) charging networks emerge, they must confront challenges in developing sustainable business models amidst rapidly evolving markets. Operators with excess charger capacity may set pricing policies attempting to encourage utilization of EV chargers, particularly when linked to utilization of a scarce linked resource (such as parking spaces). In this experiment, we test whether a subscription discount policy changes drivers’ charging volume (kWh) and frequency (charging days).
Secondary school completion rates in rural Côte d'Ivoire remain low, characterized by modest pass rates on the Grade 10 national examination and significant early school attrition. This study evaluates the efficacy of two tutoring interventions—peer-led and teacher-led—in improving academic performance and school continuation. We conduct a randomized controlled trial (RCT) with 1,000 adolescents in the Taabo region, stratified into two cohorts: 500 Grade 10 students at risk of examination failure and 500 adolescents who have exited the formal school system between Grades 7 and 9. Within each cohort, participants are randomly assigned to peer tutoring, teacher tutoring, or a control group. Treatment arms receive up to 15 sessions of tutoring focusing on core curriculum content, examin...
This study evaluates whether an artificial intelligence (AI) tool can improve job search outcomes for young people seeking work in Argentina. The project focuses on applicants to a youth employability program who were not admitted to the program but are actively looking for employment. Participants will be invited to use an online AI-based chatbot designed to help them better identify their skills and build a formal skill-based CV. The tool aims to help users better understand how to formulate and communicate their skills towards employers. The study uses a randomized controlled design. Eligible participants will be randomly assigned either to receive access to the AI tool or to a comparison group that does not receive access during the study period, but completes a placebo task. All p...
Smallholder farmers in Gujarat, India face significant crop losses due to climate-related risks, yet adoption of stress-tolerant seed varieties remains low. This study evaluates a low-cost, scalable intervention that works through agro-dealer networks to improve farmer access to improved seed varieties. Using a randomized controlled trial, we examine both direct effects on dealers who receive the intervention and indirect spillover effects on nearby untreated dealers, with the goal of understanding how climate-resilient agricultural technologies can be diffused cost-effectively through private input supply chains.
We collect online survey data from the United States to study whether an information treatment embedded within a survey can causally affect individuals’ attitudes, beliefs, and behavioral intentions regarding policies related to smartphone and social media use.
Menstruation stigma affects school participation and social inclusion. Evidence on menstruation stigma relies on face-to-face surveys collected with tablets in a Computer-Assisted Personal Interviewing (CAPI) setting. Estimates on a sensitive topic like menstruation stigma can be affected by the presence of the enumerator in a CAPI format. These biased estimates can flaw cost-effectiveness calculations for interventions addressing menstruation stigma. Policy decisions may be based on systematically biased measures. In this study, we evaluate the effect of a privacy enhancing Audio Computer-Assisted Self-Interviewing (ACASI) survey method on reported levels of menstruation stigma. We created a new plug-in to implement the ACASI format aimed at minimizing the enumerator and third-party p...
This study uses an online experiment to examine how consumers respond to different types of cash rebates linked to environmentally relevant consumption choices. Participants make repeated decisions about how many units of a product to purchase under a fixed price that reflects a carbon charge, with lower consumption associated with greater environmental benefits. We compare behavior under several treatments inlcuding a no rebate control, a guaranteed cash rebate, and several probabilistic rebate schemes that differ in the likelihood of rebate payment. The study is designed to assess whether probabilistic rebates generate similar behavioral responses to guaranteed rebates, and to examine whether responses vary systematically with the probability of receiving a rebate. This experiment con...