Labour Economics EC3019
- Subject Code :
EC3019
- University :
university of london Exam Question Bank is not sponsored or endorsed by this college or university.
- Country :
United Kingdom
Module Code: EC3019
Module Title: Labour Economics
Coursework: end-of-term
Coursework weight: this course accounts for 50% of the overall modules mark
Coursework Deadline:
Information on how to submit a file on Moodle can be found on the Moodle Student Guides. Please make sure to submit your coursework well before the due deadline to avoid any possible type of technical and not technical problem. If for any reason you are unable to upload and submit your coursework on Moodle, please email your work before the deadline to the course officers at economics.ug@city.ac.uk
Coursework Aims
The aim of these exercises is to assess your understanding of the theories and empirical techniques covered in the Labour Economics module from week 1 to week 10.
Marking Criteria
In answering the coursework, you will need to apply the theoretical and empirical concepts covered during the lectures and tutorials. Always use correct labour economics terminology and ensure your answers are grounded in the relevant theory. For the empirical questions, be precise in your explanations.
I will evaluate your knowledge and understanding of labour economics concepts. This includes your ability to familiarise yourself with these concepts and explain the reasons behind expected behaviours using economic theory. Additionally, I will assess whether you have arrived at the correct solutions and whether you can clearly explain why those solutions are valid.
You will also be evaluated on how well you communicate your results. Your answers should be well-structured, with fluency between different parts and consistency in writing and style.
Your empirical findings should be presented in tables formatted for publication, using the Stata commands discussed during the tutorials. I will review and mark your do-file, which must include comments providing a detailed explanation of each command.
Assessment criteria |
Fail (0 39) |
Pass (40 49) |
Satisfactory (50 59) |
Good (60 69) |
Excellent (70 100) |
Knowledge and understanding of theory and techniques |
Limited, confused and not accurate understanding of theory and econometrics techniques learned in the module; no clear ability of applying such techniques |
Evidence of some but rather basic understanding and ability of application of the theories and methodologies learned throughout the term |
There is evidence of learning even if not always as accurate and detailed as required by the investigation |
Clear evidence of learning and engagement with the subject matter taught during the term. Shows a firm understanding and ability of application |
Strong and firm understanding of the required theory and econometrics methodologies; clear evidence of an ability to apply them in context |
Academic Integrity, Misconduct Policy and Use of Artificial Intelligence
The Department expects you to uphold academic integrity and good academic practice by demonstrating behaviour that is honest and ethical in all of your academic work. You can get an understanding of what is meant by good academic practice and honest and ethical academic behaviour by consulting the Universitys Academic Integrity & Misconduct Policy and Guidance.
Option 1 As far as the use of Artificial Intelligence in this coursework is concerned, you are not permitted to use any AI tool to help you with the completing of this coursework. No Generative AI - The assessment must be completed without any assistance from generative AI tools. |
Coursework Information
a) The coursework consists of answering the questions below. The word limit is 1,200 words. Indicative word limits for each task are given below. You can exceed the word limit for the individual tasks. You can go 10?low or above this word limit.
b) Tables and their contents, equations, bibliography, commands and comments in the do file will not count towards the word limit.
c) Download the dataset MainData.dta from Moodle page. You need to use this dataset to answer the questions.
d) Complete the exercises in Word. You must submit one Word document (or pdf) on Moodle. Do NOT leave the submission to the last minute technical difficulties CANNOT be accepted as extenuating circumstances.
e) The tasks must be done individually.
f) Answer the questions in order. Be precise in your answers and provide all the information needed to make your answer understandable.
g) Copy the lines from your do file into the word document in part e. The lines MUST be copied in this section. I should be able to run your code when I copy/paste those lines in a do file in Stata. The words in your do file will NOT count towards the word limit.
h) You must write out your answers (no bullet points).
i) We take plagiarism very seriously. Your submission must be original.
j) This work will count 50% towards your final mark.
Coursework Task
Question 1) In class, we discussed that the free entry and exit of workers and firms in a competitive labour market leads to a single wage equilibrium.
- Using the theories covered in class, explain why wage differences are observed in the labour market despite this principle. (600 words, 35 marks)
- Based on your explanation in part (a), specify a wage equation which allows you to test the discussed theories. Carefully justify your choice of explanatory variables with reference to the relevant theoretical framework. (150 words, 15 marks)
- Estimate the wage equation using MainData.dta dataset, report the results in a table, and interpret the coefficients. Discuss whether the results align with your theoretical expectations from part (a). (150 words, 15 marks)
- Discuss any limitations of this model. (300 words, 25 marks)
- Include the complete code from your do-file here. Ensure each line of code includes comments to clearly explain its purpose. Be sure to include all lines from your do-file. (10 marks)
