6SSMN961 – Applied Econometrics
Assessment 1 – Individual Midterm Coursework
(20% of total module grade)
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Lead Instructor:
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FilipaSá
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Instructor’s email:
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Filipa.sa@kcl.ac.uk
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Submission Deadline:
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The midterm coursework will be posted on KEATS at 10:00 amon Tuesday 5th November and will
be due by 10:00 amon Thursday 7th November 2024.
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Submission checklist
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1. The file format is a pdf and contains two
parts: written answers to the questions and the STATA output.
2. File saved as
Candidatenumber.pdf
3. Word count is 1,000 words, excluding
STATA output and the cover sheet.
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Assessment 2 – Individual Final Coursework
(80% of total module grade)
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Lead Instructor:
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FilipaSá
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Instructor’s email:
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Filipa.sa@kcl.ac.uk
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Submission Deadline:
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The final coursework will be posted on KEATS at
10:00 amon Monday 9th December and will be
due by 10:00 amon
Friday 13th December 2024.
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Submission checklist
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1. The file format is a pdf and contains two
parts: written answers to the questions and the STATA output.
2. File saved as
Candidatenumber.pdf
3. Word count is 2,000 words, excluding
STATA output and the cover sheet.
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The Task
Both the midterm and the final coursework are empirical exercises. You will be given datasets and questions to answer based on those datasets. The questions are based on papers published in economics journals.
Module Learning Outcomes Assessed
1. Systematic understanding of the econometric methods covered in the module;
2. Ability to apply these methods to economic problems;
3. Proficiency using STATA and ability to debug STATA codes and research new commands to prepare and analyse data.
Assignment Details and Structure
Your submission should include the following:
1. written answers to the questions
2. the STATA output file
General Submission Requirements
Assessment submission instructions:
1. File saved as Candidatenumber.pdf
2. Word count (1,000 words for the midterm coursework and 2,000 for the final coursework)
3. File format for submission: pdf
Assessment Support Information
Formative feedback will be provided during tutorials. In addition to the tutorial problem sets, there are examples and exercises (with suggested answers) on KEATS, which will help you test your knowledge as you study the material.
On the KEATS page, under module information, you can find a sample exam paper and sample scripts from 2017/18. This past exam paper is excellent practice for your assessment.
Marking Criteria
Please consult the rubric template on page 3
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Aspect/Weighting
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F (0-39)
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D (40-49)
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C (50-59)
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B (60-69)
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A (70+)
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Midterm
coursework, 20%
Final coursework, 80%
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Mostly incorrect and/or
incomplete answers, showing
little or no understanding of the models and methods covered in the lectures and tutorials. There is insufficient reference to the literature.
The coursework is disorganised and unclear.
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Answers show only cursory
understanding of the models and methods covered in the lectures and tutorials. For example,
students fail to estimate the relevant econometric model. Answers are not sufficiently linked to relevant academic papers.
The coursework is adequately presented and generally logical but could be clearer and more organised.
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Answers demonstrate some
knowledge of the models and
methods covered in the lectures and tutorials but are incomplete or contain incorrect
interpretations. Students show
evidence of having read some of the relevant academic papers but may not have fully understood
the analysis in those readings.
Students show a reasonable
ability to code in Stata but may struggle to independently
research how to use commands that have not already been used in tutorials.
The coursework is presented with some structure but could be
clearer and more organised.
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Answers demonstrate a good
understanding of the models and methods covered in the lectures and tutorials but are not fully
complete or contain some
mistakes. For example, students
estimate the relevant econometric model but do not interpret the
results correctly or do not discuss the limitations of the model.
Students should link their answers to relevant readings (e.g.
academic papers) and show a solid understanding of those readings, even if some of the detailed
analysis in those papers may not be fully understood. Students
demonstrate good ability to code in Stata, even if they fail to use
some commands that have not already been used in tutorials.
The coursework is coherent, well organised and logically presented.
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Answers demonstrate a thorough knowledge of the models and
methods covered in the lectures and tutorials. Answers are
complete and contain clear and intuitive explanations. Students should link their answers to
relevant readings (e.g. academic papers) and show a good
understanding of those readings.
The Stata output is well
presented, with the correct
commands used throughout. Students show an ability to
research new Stata commands and apply those commands
correctly.
The coursework is well structured and written in a clear and fluent style.
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