We use novel data on nearly 6,000 children and adolescents aged 6 to 16 that combine incentivized measures of social, time, and risk preferences with rich information on child behavior and family environment to study whether children's economic preferences predict their behavior. Results from...

Automated decision-making in legal contexts is often perceived as less fair than its human counterpart. This human-automation fairness gap poses practical challenges for implementing automated systems in the public sector. Drawing on experimental data from 4,250 participants in three public...

Automated decision-making in legal contexts is often perceived as less fair than its human counterpart. This human-automation fairness gap poses practical challenges for implementing automated systems in the public sector. Drawing on experimental data from 4,250 participants in three public...

Why do people punish experienced unfairness if it induces costs for both the punisher and punished person(s) without any direct material benefits for the punisher? Economic theories of fairness propose that punishers experience disutility from disadvantageous inequality and punish in order to...

We report on our test of the Large Language Model (LLM) ChatGPT (GPT) as a tool for generating evidence of the ordinary meaning of statutory terms, We explain why the most useful evidence for interpretation involves a distribution of replies rather than only what GPT regards as the single "best"...