EC501-7-AU-CO:
Econometric Methods

The details
2022/23
Economics
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 06 October 2022
Friday 16 December 2022
20
02 March 2023

 

Requisites for this module
(none)
(none)
(none)
(none)

 

EC963

Key module for

MSC L11024 Applied Economics and Data Analysis,
MSC L10012 Economics,
MSC L100EB 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)

Module description

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.

Module aims

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.

Module learning outcomes

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.

Module information

No additional information available.

Learning and teaching methods

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.

Bibliography

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 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

Coursework Exam
50% 50%

Reassessment

Coursework Exam
0% 100%
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.

 

Availability
Yes
No
Yes

External examiner

Miss Maria Kyriacou
Resources
Available via Moodle
Of 42 hours, 40 (95.2%) 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.

 

Further information
Economics

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