JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 78
Type: Contributed
Date/Time: Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
Sponsor: Business and Economic Statistics Section
Abstract - #304814
Title: Academic Salary Compression: Winners and Losers
Author(s): James McDonald*+ and Jeff Sorensen
Companies: Brigham Young University and University of California at Berkeley
Address: Dept of Economics, Provo, UT, 84602, United States
Keywords: Salary compression ; stochastic dominance
Abstract:

Academic salary compression: Winners and losers

James B. McDonald Department of Economics Brigham Young University

Jeff Sorensen Department of Economics University of California

Abstract Academic salary compression occurs when professors of one professorial rank earn salaries close to-or even higher than-salaries of more senior faculty members. Salary compression in a given discipline can be present relative to other disciplines or within the same discipline over time. Little empirical research has been done on which academic disciplines experience the most salary compression; this work helps fill that gap. We analyze data on faculty salaries from 1993-2011 to see which disciplines have been most affected. The data come from the Oklahoma State Faculty Salary Survey by discipline for 15 disciplines and four ranks (professor, associate, assistant, and new assistant). We calculate and analyze mean-based compression ratios and also explore first- and second-order stochastic dominance relationships between estimated salary distributions corresponding to fitted Dagum distributions. The results indicate that although academic salary compressi


The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program




2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.