EC501-7-AU-CO:
Econometric Methods
2023/24
Economics
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 05 October 2023
Friday 15 December 2023
20
24 October 2023
Requisites for this module
(none)
(none)
(none)
(none)
EC963
MSC L11024 Applied Economics and Data Analysis,
MSC L10012 Economics,
MSC L100EK Economics,
MSC L10312 Financial and Business Economics,
MSC L11112 Financial Economics,
MSC L111EB Financial Economics,
MSC L16012 International Economics,
MSC L160EB International Economics,
MSC L12012 Money and Banking,
MSC L14112 Economics with Data Analytics,
MECNL130 Economics,
MECNLA30 Economics (Including Placement Year),
MECNLA31 Economics (Including Year Abroad),
MECNL131 Financial Economics,
MECNLB31 Financial Economics (Including Placement Year),
MECNLB32 Financial Economics (Including Year Abroad),
MECNL132 International Economics,
MECNLC32 International Economics (Including Placement Year),
MECNLC33 International Economics (Including Year Abroad)
This module covers the basic methods of linear regression and hypothesis testing, including extensions to models with autocorrelated and heteroskedastic disturbances and to models with lagged dependent variables.
The time series concepts of unit roots and co-integration are also introduced as are the fundamental ideas of models with endogenous regressors, limited dependent variables and panel data models.
The aim of this module is:
- To equip students with a mastery of econometric methods applicable to a wide variety of situations, ranging from the classical and generalised linear models through to nonstationary dynamic models, models with endogenous regressors, limited dependent variables and panel data models.
By the end of this module, students will be expected to be able to:
- Demonstrate professional understanding of the methods of estimation and inference as applied in these models.
- Conduct their own empirical research using them.
- Demonstrate problem-solving, analytical, and deductive skills.
Skills for your Professional Life (Transferable Skills)
By the end of this module, students will be expected to develop key employability skills including:
- Analytical reasoning.
- Model building.
- Mathematical operations.
- Interpretation of mathematical models, econometrics and statistics, and data analysis.
- Self-awareness and reflection.
Feedback for this module will occur through: class meetings, where we will go over the answers to problem sets and where you will be able to ask questions about your own method of solution; outline answers that will be posted on the website for the module that will give you written guidance on the appropriate method to approach the problem sets and tests; and office hours, where any additional questions can be addressed. You should ensure that you use these methods to understand how to improve your own performance.
This module will be delivered via:
- One 2-hour lecture per week.
- One class per week.
The above list is indicative of the essential reading for the course.
The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students.
Further reading can be obtained from this module's
reading list.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
Mid-Term Test - In person |
|
100% |
| Exam |
Main exam: In-Person, Open Book, 120 minutes during Summer (Main Period)
|
| Exam |
Reassessment Main exam: In-Person, Open Book, 120 minutes during September (Reassessment Period)
|
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
Prof Marcus Chambers, email: mchamb@essex.ac.uk.
Lectures: Prof Marcus Chambers. Classes: Mrs Sofia Bounahai
For further information, send an email message to pgteco@essex.ac.uk.
Yes
No
Yes
Miss Maria Kyriacou
Available via Moodle
Of 40 hours, 38 (95%) hours available to students:
0 hours not recorded due to service coverage or fault;
2 hours not recorded due to opt-out by lecturer(s), module, or event type.
Economics
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