EconPapers    
Economics at your fingertips  
 

Anticipating the Consequences of School Reform: A New Use of DEA

Shawna Grosskopf, Kathy J. Hayes, Lori Taylor and William L. Weber
Additional contact information
Kathy J. Hayes: Dedman College, Southern Methodist University, PO Box 750235, Dallas, Texas 75275-0235
William L. Weber: Department of Economics, Southeast Missouri State University, Cape Girardeau, Missouri 63701

Management Science, 1999, vol. 45, issue 4, 608-620

Abstract: 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.

Keywords: data envelopment analysis; school reform; distance functions; school efficiency; measuring potential gains from reform; measuring economic rents; input deregulation (search for similar items in EconPapers)
Date: 1999
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.45.4.608 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:45:y:1999:i:4:p:608-620

Access Statistics for this article

More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:ormnsc:v:45:y:1999:i:4:p:608-620