When police pull back: Neighborhood-level effects of de-policing on violent and property crime,a research note

Many U.S. cities witnessed both de-policing and increased crime in 2020, yet whether the former contributed to the latter remains unclear. Indeed, much of what is known about the effects of proactive policing on crime comes from studies that evaluated highly focused interventions atypical of day-to-day policing, used cities as the unit of analysis, or could not rule out endogeneity. This study addresses each of these issues, thereby advancing the evidence base concerning the effects of policing on crime. Leveraging two exogenous shocks presented by the onset of the coronavirus 2019 (COVID-19) pandemic and social unrest after the murder of George Floyd, we evaluated the effects of sudden and sustained reductions in high-discretion policing on crime at the neighborhood level in Denver, Colorado. Multilevel models accounting for trends in prior police activity, neighborhood structure, seasonality, and population mobility revealed mixed results. On the one hand, large-scale reductions in stops and drug-related arrests were associated with significant increases in violent and property crimes, respectively. On the other hand, fewer disorder arrests did not affect crime. These results were not universal across neighborhoods. We discuss the implications of these findings in light of debates concerning the appropriate role of policing in the 21st century.     

Microgravity protein crystallization for drug development: a bold example of public sector entrepreneurship

The Journal of Technology Transfer - A basic mission of NASA is to use the United States’ segment of the International Space Station (ISS), designated a national laboratory, to facilitate the...     

Who Benefits from Targeted Property Tax Relief? Evidence from Virginia Elections

This study examines the market impact of targeted property tax relief, which is critical for understanding who exactly benefits from a widely used local policy. Specifically, we investigate this in the context of two statewide ballot measures in Virginia that provided property tax relief or heightened expectations for future relief intended to aid disabled veterans and seniors, respectively. Using residential multiple listing service microdata from Virginia, results from a regression discontinuity analysis show that once the 2010 tax relief measures passed on Election Day, property values rose sharply in response to the sudden increase in demand for homeownership among the targeted groups. We find that senior preferred housing and properties within areas with higher proportions of seniors and veterans experienced the highest price appreciation, while areas with fewer veterans or seniors saw little impact. The findings suggest that this type of policy provides an immediate benefit to current homeowners, thereby offsetting benefits for subsequent homeowners within the targeted groups. This effect represents an unintended consequence of targeted property tax relief as a policy tool more generally, as immediate capitalization into home prices subsequently increases the cost of housing for many individuals the relief was intended to help.     

Bringing Rigor to the Use of Evidence in Policy Making: Translating Early Evidence

Beyond the evidence provided by randomized controlled trials, there is a need for supplementing and contextualizing efficacy findings through early evidence. This may include evidence of program costs, quality implementation processes, and impact of programs on different groups. This article considers the Quality and Impact of Component Evidence Assessment and other exemplary efforts for translating early evidence for policy making within a common framework. This framework includes processes for strategic review, development of guiding standards on the quality of evidence, and active communication with policy makers.