Anticipating the consequences of school reform: A new use of DEA

• 成果类型: Article
• 署名作者: Grosskopf, S; Hayes, KJ; Taylor, LL; Weber, WL
• 署名单位: Oregon State University; Southern Methodist University; Federal Reserve System - USA; Federal Reserve Bank - Dallas
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.45.4.608
• 发表日期: 1999
• 页码: 608-620
• 关键词: data envelopment analysis; school reform; distance functions; school efficiency; measuring potential gains from reform; measuring economic rents; input deregulation

摘要

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.