ECON42780

Learning Outcomes:

The learning outcomes are (1) developing an understanding of social protection and labour policies in developing countries; (2) the ability to evaluate the impact of various economic policies through the tools and models developed in class.

Indicative Module Content:

Classes will be mostly in person with the exception of when guest speakers are invited (max 3/4 for the entire course). The format will consist of a 45/60 min presentation of the topic and its applications followed by discussion and possible group exercises to further discuss the concepts within the framework of the country each student has selected and then report back to the class.

Topics included:
Social Protection: an introduction to concepts and main political economy challenges.
Adaptive Social Protection: the nexus between climate and social protection.
Equity vs efficiency issues in Social Protection programs.
Social insurance vs social assistance in the developing world
Delivering economic inclusion programs in Developing Countries.
The role of Social Protection in Fragile and conflict-affected countries.
Demographic trends in South Asia and its implications for Social Protection and skills programs.
Migration trends and policy challenges in South Asia (or Africa or both).
The role of Informality in labor arrangements in developing countries: an overview.

Student Effort Hours:

Approaches to Teaching and Learning:

Classes will be mostly in person with the exception of when guest speakers are invited (max 3/4 for the entire course). The format will consist of a 45/60 min presentation of the topic and its applications, followed by discussion and possible group exercises to further discuss the concepts within the framework of the country each student has selected and then report back to the class.

Policy on the use of Generative AI: Generative AI, such as ChatGPT, may be used in this module in the following ways:

• To understand main concepts/theories and find definitions.
• To correct grammar and improve the writing style of your own work.
• 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. 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 assignments.

4. If academic misconduct is suspected, you may be asked to discuss or explain (verbally and without prior notice) components of your assignment to determine the authenticity of the work.

Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles

Not applicable to this module.
 

Assessment Strategy

 

Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

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