Note: This course is usually offered Summer and Fall.
Role gender plays in economies; the way gender affects economic outcomes for individuals and societies.
Gender in the Economy is an introductory course which takes an interdisciplinary approach to examining ways in which gender, as a culturally defined concept, affects the economy.
The objectives of this course are:
- To show that gender as a social category (like race, ethnicity, and class) is relevant to the study of the economy;
- To gain an understanding of some of the ways in which the economy is gendered;
- To examine gender in a global context; and
- To use gendered analysis to think critically about alternative approaches to economics.
After completing this course, a successful student should have an understanding of topics such as:
- Theories of gender
- The neoclassical economic perspective
- Feminism and feminist economics
- Femininity, masculinity, and consumption Labor markets in a gender context
- Labor markets in a gender context
- Social reproduction and care work
- Gender and poverty in the U.S.
- Women and globalization
This course requires the use of electronic proctoring through ProctorU, please see http://www.online.colostate.edu/current-students/proctoring.dot for detailed instructions. For students requiring accommodations, please contact Resources for Disabled Students; for consideration of exceptions outside the scope of RDS, please contact the University Testing Center
This course meets the All-University Core Curriculum (AUCC) requirements for Global and Cultural Awareness (Category 3E) and is approved under gtPathways in the content area of Economic or Political Systems (GT-SS1).
This course can be applied towards:
Textbook and Materials
Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.
- The Economics of Women, Men and Work, 7th Ed.
Blau, Francine D., Ferber, Marianne A., and Winkler, Anne E.
My goal is to earn my PhD in economics in the fields of public policy, international trade, and regional modeling. After 3 years in the PhD program at Colorado State University, I have worked as a graduate teaching assistant in charge of recitation planning and grading for approximately 90 students per semester. My past experience has involved interviewing executive-level managers at Fortune 500 companies researching different aspects of "good companies" as a research assistant for McBassi and Company. My current work includes research into grandparent childcare subsidies for low-income families and Pension Risk effects on the provision of Grandparent Childcare. For these research ideas I have invested in Mathematica, R, and STATA statistical software.