EC252-5-AU-CO:
Introduction to Econometric Methods
2023/24
Economics
Colchester Campus
Autumn
Undergraduate: Level 5
Current
Thursday 05 October 2023
Friday 15 December 2023
15
16 August 2023
Requisites for this module
EC114 or BE300 or MA108
(none)
(none)
(none)
BE333, EC352
BSC 0E45 Economics (Including Placement Year),
BSC L101 Economics,
BSC L103 Economics (Including Foundation Year),
BSC L107 Economics (Including Year Abroad),
MECNL130 Economics,
MECNLA30 Economics (Including Placement Year),
MECNLA31 Economics (Including Year Abroad),
BSC LL14 Economics and Politics (Including Foundation Year),
BSC LL2F Economics and Politics,
BSC LL3F Economics and Politics (Including Year Abroad),
BSC LL4F Economics and Politics (Including Placement Year),
BSC L1G1 Economics with Mathematics,
BSC L1G3 Economics with Mathematics (Including Placement Year),
BSC L1G8 Economics with Mathematics (Including Foundation Year),
BSC L1GC Economics with Mathematics (Including Year Abroad),
BSC 0Q64 Financial Economics (Including Placement Year),
BSC L114 Financial Economics,
BSC L117 Financial Economics (Including Foundation Year),
BSC L194 Financial Economics (Including Year Abroad),
MECNL131 Financial Economics,
MECNLB31 Financial Economics (Including Placement Year),
MECNLB32 Financial Economics (Including Year Abroad),
BSC 5H18 International Economics (Including Placement Year),
BSC L116 International Economics,
BSC L161 International Economics (Including Foundation Year),
BSC L162 International Economics (Including Year Abroad),
MECNL132 International Economics,
MECNLC32 International Economics (Including Placement Year),
MECNLC33 International Economics (Including Year Abroad),
BSC 5M00 Management Economics (Including Placement Year),
BSC L109 Management Economics,
BSC L191 Management Economics (Including Foundation Year),
BSC L193 Management Economics (Including Year Abroad),
MECNL133 Management Economics,
MECNL134 Management Economics (Including Placement Year),
MECNL135 Management Economics (Including Year Abroad),
BSC LG01 Economics with Data Science,
BSC LG02 Economics with Data Science (Including Year Abroad),
BSC LG03 Economics with Data Science (Including Placement Year),
BSC LG04 Economics with Data Science (Including Foundation Year),
BSC C148 Economics with Psychology,
BSC C149 Economics with Psychology (Including Foundation Year),
BSC C158 Economics with Psychology (Including Year Abroad),
BSC C168 Economics with Psychology (Including Placement Year)
This module provides an introduction to the econometric methods commonly used to analyse economic data. The focus of the module is on linear regression and the ordinary least squares (OLS) estimation procedure. This is introduced after a review of basic probability, random variables, simple descriptive statistics and the concept of the null hypothesis.
Students will then be taught about how t-tests and F-tests can be used to make inferences about the estimated parameters and what diagnostic tests are available to test some of the assumptions of the simple OLS model. Then the module will move onto the question of identification and model specification, the concepts and implications of consistency and efficiency. The module will be taught throughout using the Stata software package and always using economic examples using real data.
The aims of this module are:
- To teach students intermediate undergraduate level econometric methods. Those methods are more sophisticated compared to the prerequisite module EC114.
- To provide a good background to students who wish to write a final year dissertation by using quantitative methods.
By the end of this module, students will be expected to be able to:
- Carry out simple statistical and econometric calculations.
- Possess the ability to understand and assess critically empirical findings reported in the applied economics literature.
- Use the linear regression model and the econometric methods developed for the linear regression model in order to conduct a simple econometric investigation of an empirical issue of interest.
- Demonstrate during tests/assignments their problem-solving analytical and deductive skills.
Employability skills
This module delivers key employability skills of:
- Adoption of new techniques and project management (Career Development).
- Reflection and evaluation (Personal Development Planning).
No additional information available.
The module will be delivered via:
- Two 1-hour lectures
- One class per week
In one term.
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 via FASER |
|
50% |
| Coursework |
Mid-term Exercise |
|
50% |
| 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 Abhimanyu Gupta, email: a.gupta@essex.ac.uk.
Lectures: Dr Ahimanyu Gupta / Classes: various teachers
For further information, send an email message to ueco@essex.ac.uk.
Yes
Yes
No
Mr Georgios Papadopoulos
Available via Moodle
Of 80 hours, 78 (97.5%) 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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