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ECON30590

Academic Year 2023/2024

Economics of Gender and Diversity (ECON30590)

Subject:
Economics
College:
Social Sciences & Law
School:
Economics
Level:
3 (Degree)
Credits:
5
Module Coordinator:
Dr Margaret Samahita
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module focuses on the economic analysis of gender and diversity issues. While a large focus will be on gender, we will also touch on other group characteristics. We will examine how gender and other characteristics shape economic outcomes, and how economic theory and empirical work can be used to understand and address inequality. We will also explore policies aimed at promoting gender and diversity.

NOTE: this module contains mathematical content to motivate the theories discussed in class. Students are expected to be comfortable with single-variable calculus, regressions and data analyses.

About this Module

Learning Outcomes:

• Analyze the role of gender and diversity in shaping economic outcomes.
• Critically evaluate economic theories and empirical evidence related to gender and diversity.
• Apply economic concepts and tools to analyze and solve problems related to gender and diversity.
• Understand the economic implications of policies and programs aimed at promoting gender and diversity.
• Develop effective communication and teamwork skills through group projects and class discussions.

NOTE: this module contains mathematical content to motivate the theories discussed in class. Students are expected to be comfortable with single-variable calculus, regressions and data analyses.

Indicative Module Content:

-Introduction: Gender in economics
-The economics of the household
-The labor market
-The gender wage gap
-Psychological traits
-Discrimination
-Policy

NOTE: this module contains mathematical content to motivate the theories discussed in class. Students are expected to be comfortable with single-variable calculus, regressions and data analyses.

Student Effort Hours:
Student Effort Type Hours
Lectures

12
Seminar (or Webinar)

12
Autonomous Student Learning

80
Total

104

Approaches to Teaching and Learning:
Teaching will be delivered through lectures and class discussions.

NOTE: this module contains mathematical content to motivate the theories discussed in class. Students are expected to be comfortable with single-variable calculus, regressions and data analyses.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Examination: Final examination Week 12 No Alternative linear conversion grade scale 40% No
50
 No
Group Project: Presentation (week 11) and written submission (end of term) Coursework (End of Trimester) n/a Alternative linear conversion grade scale 40% No
30
 No
Continuous Assessment: Depending on class size, may include the following components:
-Attendance, participation and presentation in in-class seminars
-Homework
-Quizzes		 Throughout the Trimester n/a Alternative linear conversion grade scale 40% No
20
 No

Carry forward of passed components
No
 

Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

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