Estimating Faculty Salary Distributions: An Application of Order Statistics
Mark L. Pocock,
James McDonald and
Clayne L. Pope
Journal of Income Distribution, 2002, vol. 11, issue 3-4, 4-4
Abstract:
A knowledge of the distribution of income in different professions has a variety of policy implications and uses. Important applications include being able to make competitive salary offers for potential employees as well as helping to retain values employees through appropriate financial incentives. In some professions, salary data are readily available, and in others, data are limited. In academics the amount of salary data available is very diverse. In one study, Oklahoma State University publishes the highest, lowest and mean salaries by rank and discipline for different Carnegie Research Classifications. This paper outlines and approach, using order statistics and a Burr distribution, to utilize the information available from the Oklahoma State Survey to estimate underlying probability density functions for salary distributions. Given the estimated distribution, deciles can be estimated which facilitate an analysis of salary structure. The methodology is applied to estimate the salary distribution of statistics professors.
Date: 2002
References: Add references at CitEc
Citations:
Downloads: (external link)
http://jid.journals.yorku.ca/index.php/jid/article/view/1251 (application/pdf)
Some fulltext downloads are only available to subscribers. See JID website for details.
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:jid:journl:y:2002:v:11:i:3-4:p:4-4
Access Statistics for this article
More articles in Journal of Income Distribution from Ad libros publications inc. Contact information at EDIRC.
Bibliographic data for series maintained by Timm Boenke ( this e-mail address is bad, please contact ).