The gender wage gap under the microscope: methods of measurement
.
Chapter 2 in Explaining the Gender Wage Gap, 2023, pp 30-54 from Edward Elgar Publishing
Abstract:
Chapter 2 presents the most well-known methods of calculating the gender wage gap and assesses their shortcomings. The most popular method is Blinder-Oaxaca, which, using a regression model, divides the gap into explained and unexplained parts. The most serious of its several shortcomings are that it considers averages of broad aggregates and it compares entities that are not similar. These two shortcomings are overcome by two other groups of methods. The first group consists of quantile methods, such as JMP decomposition and techniques based on a generalised Lorenz curve—for example, the Jenkins method, which allows researchers to calculate wage differences for different parts of the salary distribution. The second group consists of nonparametric methods—that is, weighing techniques and the Ñopo (2004) decomposition, which is based on pairs of employees with the same skills or experience.
Keywords: Economics and Finance; Sociology and Social Policy (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781035312597.00007 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable
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:elg:eechap:22349_2
Ordering information: This item can be ordered from
http://www.e-elgar.com
Access Statistics for this chapter
More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().