Although non-experimental studies find robust neighborhood effects on adults, such findings have been challenged by results from the Moving to Opportunity (MTO) residential mobility experiment. Using a within-study comparison design, this paper compares experimental and non-experimental...

A key policy question in evaluating social programs to address childhood poverty is how families receiving unconditional financial support would spend those funds. Economists have limited empirical evidence on this topic in the U.S. We provide causal estimates of financial and time investments...

The foundations for successful child development are established in early childhood. Two main policy approaches for strengthening these foundations have been subsidized preschool programs and programs targeting the home environment. Our chapter reviews a large body of empirical work...

Household time and money allocations in response to income support programs vary across diverse family circumstances and preferences, yet such heterogeneous responses are not well understood. Using data from a large-scale, multisite, U.S.-based randomized controlled study, we examine...

Developmental differences between children growing up in poverty and their higher-income peers are frequently reported. However, the extent to which such differences are caused by differences in family income is unclear. To study the causal role of income on children's development, the Baby's...

How can we use the novel capacities of large language models (LLMs) in empirical research? And how can we do so while accounting for their limitations, which are themselves only poorly understood? We develop an econometric framework to answer this question that distinguishes between two types of...

The law forbids discrimination. But the ambiguity of human decision-making often makes it extraordinarily hard for the legal system to know whether anyone has actually discriminated. To understand how algorithms affect discrimination, we must therefore also understand how they affect the problem...

Algorithms (in some form) are already widely used in the criminal justice system. We draw lessons from this experience for what is to come for the rest of society as machine learning diffuses. We find economists and other social scientists have a key role to play in shaping the impact of...

There is growing concern that it is too difficult or costly to substantially improve the academic skills of children who are behind in school once they reach adolescence. But perhaps what we have tried in the past relies on the wrong interventions, failing to account for challenges like the...

Body-worn cameras (BWCs) are an increasingly common tool for police oversight, accountability, and transparency, yet there remains uncertainty about their impacts on policing outcomes. This paper reviews what we know about the benefits of BWCs and how those benefits compare to the costs of this...