Heather Rose

The Effects of Affirmative Action Programs: Evidence From the University of California at San Diego:

Using administrative data from the University of California at San Diego, the author explicitly identifies and studies students admitted under affirmative action programs. On average, these students earned grade point averages (GPAs) 0.30 points lower than those of nonaffirmative students. The difference in graduation rates is larger, with 57% of affirmative action students graduating compared to 73% of their nonaffirmative action peers. When compared to students just above the regular admissions cutoff, the differences are smaller—the difference in graduation rates is only 8 percentage points, and the difference in GPAs is only 0.20 points. A student’s family, school, and neighborhood characteristics can explain a small part of these differences, but academic preparation explains most of the difference.

An Analysis of Professional Judgments

Many states have used professional judgment panels to determine the resources schools need to meet certain performance targets. This study initiates a critical study of that method. Using budget simulations with hypothetical schools, we collected the judgments of forty-five principals about how school budgets should be allocated and how school resources affect student achievement. We found considerable variation among principals in both budget allocations and achievement predictions. We also found that principals were more optimistic about student achievement than is warranted by either achievement in comparable schools or recent research on the relationship between resources and achievement.

Charter School Spending and Saving in California

Examining resource allocation practices, including savings, of charter schools is critical to understanding their financial viability and sustainability. Using 9 years of finance data from California, we find charter schools spend less on instruction and pupil support services than traditional public schools. The lower spending on instruction and pupil support is offset, not by administrative costs, but by higher spending on operations, consultant services, and a greater rate of savings (carry-over). Further, analysis indicates that the differences in resource allocation patterns between charter schools and traditional public schools is not completely explained by the characteristics of students served. The resource allocation practices revealed in this study, combined with findings from prior research, shed some light on how charter schools may avoid financial deficiency and ensure their sustainability.