The goal of creating evidence-based programs is to scale them at sufficient breadth to support population-level improvements in critical outcomes. However, this promise is challenging to fulfill. One of the biggest issues for the field is the reduction in effect sizes seen when a program is taken to scale. This paper discusses an economic perspective that identifies the underlying incentives in the research process that lead to scale up problems and to deliver potential solutions to strengthen outcomes at scale. The principles of open science are well aligned with this goal. One prevention program that has begun to scale across the USA is early childhood home visiting. While there is substantial impact research on home visiting, overall average effect size is .10 and a recent national randomized trial found attenuated effect sizes in programs implemented under real-world conditions. The paper concludes with a case study of the relevance of the economic model and open science in developing and scaling evidence-based home visiting. The case study considers how the traditional approach for testing interventions has influenced home visiting's evolution to date and how open science practices could have supported efforts to maintain impacts while scaling home visiting. It concludes by considering how open science can accelerate the refinement and scaling of home visiting interventions going forward, through accelerated translation of research into policy and practice.
This review summarizes results of field experiments examining individual behaviors across several market settings—from open-air markets to rideshare markets to tax-compliance markets—where people sort themselves into market roles wherein they make consequential decisions. Using three distinct examples from my own research on the endowment effect, left-digit bias, and omission bias, I showcase how field experiments can help researchers understand mediators, heterogeneity, and causal moderation involved in judgment biases in the field. In this manner, the review highlights that economic field experiments can serve an invaluable intellectual role alongside traditional laboratory research.
This paper uses a field experiment and structural model to estimate the eff ects of prices and social norms on the decision to adopt a new household technology. Reduced form estimates show that while prices aff ect behavior along both the extensive and intensive margins, social norms only impact the extensive margin decision. Structural estimates uncover a negative correlation between behavioral parameters of our model: curiosity and social pressure . This points to important heterogeneity in the welfare eff ects of our intervention: whereas some consumers are “curious” and welcome the opportunity to learn about and purchase the new technology, others have no interest in learning about the technology and are made worse o ↵ by the social pressure of the ask. Policy simulations highlight a complementary relationship between psychological and economic instruments; the subsidy required to achieve any level of adoption is lower when combined with the provision of normative statements.
Define contribution mechanism combined with a dynamic job market can affect the sum of retirement savings and the choices of plans and products. Hence, it is important for regulators to engage servers to manage the accounts they accumulate over the years. In 2013-2014 the Israeli regulator reached out to the population, recommending the use of a website to help individuals find inactive retirement savings accounts and close them (withdraw the savings or transfer them to active accounts). The government's efforts did not result in the closure of most of the inactive accounts. Proprietary data indicate that those who closed the inactive accounts live in central locations with a higher socioeconomic index. Survey data indicate that those who lacked financial literacy and confidence in their financial knowledge were less likely to take financial actions. Using a controlled field experiment, we also provide evidence that an intervention with a human touch can promote greater involvement.
We partnered with Alaska’s Pick.Click.Give. Charitable Contributions Program to implement a statewide natural field experiment with 540,000 Alaskans designed to explore whether targeted appeals emphasizing donor benefits through warm glow impact donations. Results highlight the relative import of appeals to self. Individuals who received such an appeal were 4.5 percent more likely to give and gave 20 percent more than counterparts in the control group. Yet, a message that instead appealed to recipient benefits had no effect on average donations relative to the control group. We also find evidence of long-run effects of warm glow appeals in the subsequent year.
