EC501-7-AT-CO:
Econometric Methods
2022/23
Economics
Colchester Campus
Autumn Special
Postgraduate: Level 7
Current
Thursday 06 October 2022
Friday 16 December 2022
20
19 April 2023
Requisites for this module
(none)
(none)
(none)
(none)
EC963
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 aims of this module are 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.
Upon completion of the module, students should demonstrate professional understanding of the methods of estimation and inference as applied in these models, and be able to conduct their own empirical research using them. In completing the weekly problem-sets, students will demonstrate their problem-solving, analytical, and deductive skills. Key employability skills delivered by the module include analytical reasoning, model building, mathematical operations, interpretation of mathematical models, econometrics and statistics, and data analysis.
Key employability skills delivered by the module include self-awareness and reflection. The key academic skills delivered by the module are detailed in the Key Skills table.
No additional information available.
One 2 hour lecture per week plus one class per week.
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 does not appear to have a published bibliography for this year.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
Test |
|
100% |
| Exam |
Main exam: In-Person, Open Book, 120 minutes during January
|
| Exam |
Reassessment Main exam: In-Person, Open Book, 120 minutes during Summer (Main 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: various teachers
For further information, send an email message to pgteco@essex.ac.uk.
No
No
No
Miss Maria Kyriacou
Available via Moodle
No lecture recording information available for this module.
Economics
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