ECON30590

Learning Outcomes:

• Analyze the role of gender in shaping economic outcomes.
• Critically evaluate economic theories and empirical evidence related to gender issues.
• Apply economic concepts and tools to analyze and solve problems related to gender issues.
• 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.

Indicative Module Content:

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

Student Effort Hours:

Approaches to Teaching and Learning:

Teaching will be delivered through lectures and class discussions.

Policy on the use of Generative AI: Generative AI, such as ChatGPT, may be used in the project in the following ways:
• To generate ideas and organise the structure of the report.
• To understand main concepts/theories and find definitions.
• To correct grammar and improve the writing style of your own work.
• To assist with reference formatting.
• For technical assistance, such as instructions on how to use a statistical software.

Please note the following:
1. The use of AI-generated content without explicit permission and attribution is a form of academic misconduct. Plagiarism risk is high when using AI, and it is not acceptable to submit AI-generated content as it is. If you copy and paste entire AI-generated answers, it will be considered plagiarism. Even AI co-created work is considered collusion if you present it all as your own.
2. You are therefore required to explicitly state whether AI was used in the assignment and how.
3. Be aware that AI-generated lists of publications and other sources are predictions only; they may not truly exist, therefore you should not rely on AI for your literature search.
4. You should also check all information provided by AI for accuracy. Be sure that you can verify all generated text, again, do NOT simply copy/paste the AI-generated information into your report.
5. If academic misconduct is suspected, you may be asked to discuss or explain components of your assignment to determine the authenticity of the work.

Requirements, Exclusions and Recommendations

Learning Requirements:

This module contains mathematical content to motivate the theories discussed in class. Students are expected to be comfortable with statistical tests, regressions and data analyses using Microsoft Excel, Stata, R or similar softwares.

Module Requisites and Incompatibles

Pre-requisite:
ECON20040 - Statistics for Economists, ECON30130 - Econometrics

Additional Information:
Only one of the two modules listed is required.


 

Assessment Strategy

 

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.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.