Article ID: | iaor20002154 |
Country: | United States |
Volume: | 45 |
Issue: | 4 |
Start Page Number: | 608 |
End Page Number: | 620 |
Publication Date: | Apr 1999 |
Journal: | Management Science |
Authors: | Grosskopf Shawna, Hayes Kathy J., Taylor Lori L., Weber William L. |
Keywords: | statistics: data envelopment analysis |
We use DEA-type linear programming techniques to simulate a basic component of educational reform-eliminating restrictions on the allocation of school personnel. Our technique allows us to identify potential output gains (or equivalently potential cost savings) from reform. We can also identify which personnel groups are likely to gain and lose under this reform. When we apply our model to a sample of Texas school districts, we find evidence that the educational establishment has substantial economic rents to protect from school reform, and that the primary beneficiaries of reform are likely to be affluent school districts with few minority students. The technique, which relies on the relationship between the direct and indirect distance functions, can be easily generalized to measure the potential gains from removing other input restrictions such as union work rules, environmental regulations, or deed restrictions.