22870 Labour Economics
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Assignment/Coursework Remit
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Programme Title |
Economics |
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Module Title |
Labour Economics |
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Module Code |
22870 |
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Assignment Title |
Assessment – Part A Main |
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Level |
Final year UG |
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Weighting |
25% |
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Lecturers |
Apurav Bhatiya and Francesco Esposito |
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Hand Out Date |
31/10/2023 |
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Deadline Date & Time |
07/11/2023 |
12pm |
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Feedback Post Date |
29/11/2023 |
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Assignment Format |
Essay |
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Assignment Length |
800 words |
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Submission Format |
Online |
Individual |
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Assignment:
The assessment is made of two questions and there is a word limit of 400 words each. The questions cover several topics that students have learned in the lectures and the seminars.
Module Learning Outcomes:
In this assessment the following learning outcomes will be covered:
LO 1. Interpret the output of linear and limited dependent variable regressions, in relation to labour economics;
LO 2. Identify and appraise key characteristics of, and recent developments in, labour
markets in modern economies;
Grading Criteria:
Q1: 30 + 10 + 10 marks. Students are expected to discuss and cite research papers covered in the syllabus and beyond.
Q2: 25 + 25 marks. Students are expected to discuss and cite research papers covered in the syllabus and beyond.
Feedback to Students:
Both Summative and Formative feedback is given to encourage students to reflect on their learning that feed forward into following assessment tasks. The preparation for all assessment tasks will be supported by formative feedback within the tutorials/seminars. Written feedback is provided as appropriate. Please be aware to use the browser and not the Canvas App as you may not be able to view all comments.
Plagiarism:
It is your responsibility to ensure that you understand correct referencing practices. You are expected to use appropriate references and keep carefully detailed notes of all your information sources, including any material downloaded from the Internet. It is your responsibility to ensure that you are not vulnerable to any alleged breaches of the assessment regulations. More information is available at
https://intranet.birmingham.ac.uk/as/registry/policy/conduct/plagiarism/index.aspx.
Use of Generative AI:
Unless explicitly stated otherwise, students should assume that the use of generative AI within an assessment or assignment is not permitted. Any assessment submitted that is not a student’s own work, including that written by generative AI tools, are in breach of the
University’s Code of Practice on Academic Integrity
(https://intranet.birmingham.ac.uk/as/registry/policy/conduct/plagiarism/index.aspx
Wellbeing Extenuating Circumstances:
The process for Extenuating Circumstances is to support students who have experienced
unforeseen issues that have impacted their ability to engage with their studies and/or
complete assessments. Students should notify Wellbeing of any extenuating circumstances
as soon as possible via the online form, following the guidance provided.
https://intranet.birmingham.ac.uk/social-sciences/college-services/wellbeing/index.aspx
2023-11-05