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Should Public Funds be Used for Charter Schools? DC as a Case Study

The number of charter schools in the United States has been increasing rapidly since the first charter school was established in Minnesota in 1992. DC’s first charter school was opened in 1995 and since then more parents, educators, and policy makers have argued that charter schools create a free market for education and improve student achievement. These publicly funded schools cannot accept every student, making it important to evaluate whether these claims are valid. Using DC public and charter school student achievement data from 2012-2014, the authors conducted an analysis on the performance of students on the Math and Reading DC-CAS assessment to study how the scores differ between public schools and charter schools. Initial results indicate that charter schools are associated with higher student achievement; however, two major drawbacks are present in our design. Because of the drawbacks in our data source, our analysis is inconclusive as to whether or not charter schools represent a good investment.

Great Streets Small Business Grant Program: Criminological Effects in Washington, D.C.’s Emerging Corridors

The Great Streets program in Washington, D.C. was initially designed in the mid-2000s to assist small business owners experiencing financial stress resulting from the city’s transportation-related construction projects. The program has since evolved to support hundreds of small businesses in the city’s emerging neighborhood corridors. While a causal connection between socioeconomic deprivation and criminal behavior has long been theorized, there are few studies analyzing the relationship between commercial revitalization and crime rates at the business level. Our research attempts to address the question: How does giving a small business a public retail revitalization grant affect crime rates in the immediate proximity of the storefront? Using grantee and crime data from Open Data DC and demographic data from the United States Census Bureau, this study employs an innovative donut geospatial modeling technique to set treatment and control areas in concentric circles with equal square footage around each grantee. Because the two areas are equal, crime counts occurring in each could be directly compared. A difference-in-differences approach was used to analyze the impact of small business grants on crime in the immediate vicinity of grantees. Crime outcomes were evaluated for the District as a whole, then separated by corridor. Our results suggest that the effectiveness of the Great Streets program to reduce property crime is dependent on the demographic makeup and socioeconomic shifts of a neighborhood. This is consistent with contemporary criminological research which shows that as communities absorb higher-income residents, these residents are often more likely to report property crime. These results indicate promise for business development grants to curb certain types of crime in particular neighborhoods.