Examining Production Efficiency in Higher Education: A Stochastic Frontier Latent Class Approach

• In Event: Poster Session 6
  In Poster Session: Multiple Linear Regression: The General Linear Model SIG Poster Session

Abstract

This study demonstrates the use of stochastic frontier analysis, with a latent class approach to estimate production efficiency and identify public comprehensive institutions (PCI) engaging in “best practices” with regard to bachelor’s degree production. This research suggests there are two latent classes of PCIs operating on the production frontier.

Authors

• Marvin A. Titus, University of Maryland

• Kevin Eagan, University of California - Los Angeles