Abstract
An intuitively appealing method for estimating gender wage gaps by industry is shown to yield estimates that vary according to the arbitrary choice of left-out reference groups for non-industry categorical variables, such as race and marital status. This study uses data from the Current Population Surveys to explore alternative methods for estimating gender wage gaps by industry that are not susceptible to the identification problem. Statistical significance measures reveal when relative industry wage gap rankings are not statistically meaningful. The methodology readily extends to other contexts such as racial, union-nonunion, or immigrant-native wage gaps by industry, occupational, or regional groupings.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
