Occupational Sex Segregation and Earnings Differences

Author(s)
Jill Bouma, Berea College
Learning Goals

Skill_x000D_
Using software to access and analyze census data_x000D_
Identifying independent and dependent variables_x000D_
Employing control variables_x000D_
Forming testable hypotheses using quantitative data_x000D_
Learning how to construct, read, and interpret bivariate tables displaying frequencies and percentages_x000D_
Identifying population trends over time_x000D_
Using real world data to enhance and support key course concepts_x000D_
Substance_x000D_
Examine sex segregation in employment from 1950 to 2000_x000D_
Examine trends within three specific occupations of your choosing_x000D_
For either doctors or lawyers, investigate gender and race differences on earnings and see if these differences change when we control for age

Context for Use

This activity is used in a Gender and Sex Roles class for undergraduate students. This activity explores gender and earnings differences in the United States

Description and Teaching Materials

http://d32ogoqmya1dw8.cloudfront.net/files/sp/ssdan/examples/exercises_…http://d32ogoqmya1dw8.cloudfront.net/files/sp/ssdan/examples/exercises_…

Assessment

http://www.ssdan.net/datacounts/modules_assessment.html

As we have studied, the percent of women in the labor force has increased in recent decades. Contemporary women have a wider range of choices about what careers to pursue. However, to a considerable extent, men and women tend to have different kinds of jobs. For this exercise we will: 1) examine sex segregation in employment from 1950 to 2000. 2) examine trends within three specific occupations of your choosing, and 3) for either doctors or lawyers, investigate gender and race differences on earnings and see if these differences change when we control for age.
Teaching Notes and Tips

This activity uses two customized data sets; one made from combining census information from 1950-2000 and one from the 2000 Census. It guides students through data manipulation using WebCHIP software found at DataCounts!. To open WebCHIP with the dataset for the activity, please see instructions and links in the exercise documents under teaching materials. For more information on how to use WebCHIP, see the How To section on DataCounts!

References and Resources

This exercise is based on a module developed by Tim Thornton, SUNY-Brockport.http://www.ssdan.net/datacounts/modules/index/bouma_occearn_index.shtml_x000D_