EconPapers    
Economics at your fingertips  
 

A Bayesian Look at American Academic Wages: The Case of Michigan State University

Majda Benzidia and Michel Lubrano ()

Working Papers from HAL

Abstract: The paper investigates academic wage formation inside Michigan State University and develops tools in order to detect the presence of possible superstars. We model wage distributions using a hybrid mixture formed by a lognormal distribution for regular wages and a Pareto distributions for higher wages, using a Bayesian approach, particularly well adapted for inference in hybrid mixtures. The presence of superstars is detected by studying the shape of the Pareto tail. Contrary to usual expectations, we did found some evidence of superstars, but only when recruiting Assistant Professors. When climbing up the wage ladder, superstars disappear. For full professors, we found a phenomenon of wage compression as if there were a higher bound, which is just the contrary of a superstar phenomenon. Moreover, a dynamic analysis shows that many recruited superstars did not fulfill the university expectations as either they were not promoted or left for lower ranked universities.

Keywords: tournaments theory; hybrid mixtures; superstars; academic market; wage formation; Bayesian inference (search for similar items in EconPapers)
Date: 2016-11
Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-01358882v2
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://halshs.archives-ouvertes.fr/halshs-01358882v2/document (application/pdf)

Related works:
Working Paper: A Bayesian Look at American Academic Wages: The Case of Michigan State University (2016) Downloads
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:hal:wpaper:halshs-01358882

Access Statistics for this paper

More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2019-09-18
Handle: RePEc:hal:wpaper:halshs-01358882