ECON42470 Econometrics HDip

Academic Year 2022/2023

This course builds on a basic understanding of probability and statistics to introduce the topic of econometrics. Topics covered in the course will include: regression analysis; hypothesis testing; econometric modeling; heteroscedasticty; instrumental variables.

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Curricular information is subject to change

Learning Outcomes:

Upon successful completion of the course, a student will have the ability to perform linear regression; to formally test statistical hypotheses and to evaluate empirical economic research. In addition, he/she will have an appreciation of the strength and weaknesses of econometrics and its use in the evaluation of competing economic theories and alternative policies.

Student Effort Hours: 
Student Effort Type Hours
Autonomous Student Learning

150
Lectures

22
Tutorial

10
Total

182
Approaches to Teaching and Learning:
There are lectures and also computer tutorials in which students learn how to do econometrics in practice.

 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
ECON30130 - Econometrics

Additional Information:
This module can only be taken by students who can show they have taken an undergraduate course in statistics and have achieved a good understanding of this subject (that is a grade equivalent to 60% or above).


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Examination: Written final exam Coursework (End of Trimester) No Graded No

70
Assignment: Students will work on a project with R. They can work in groups. The maximum group size will be specified at the start of the term. Week 7 n/a Graded No

30

Carry forward of passed components
Yes
 
Resit In Terminal Exam
Autumn Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

After the assignment, I will provide group feedback in lecture and I will provide an answer key so that students can compare their answers to the correct answers.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Spring
      
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 16:00 - 16:50
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 15:00 - 15:50
Computer Aided Lab Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 18:00 - 18:50
Computer Aided Lab Offering 2 Week(s) - 20, 21, 22, 23, 24, 26, 29, 30, 31, 32, 33 Thurs 17:00 - 17:50
Computer Aided Lab Offering 3 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 18:00 - 18:50
Computer Aided Lab Offering 4 Week(s) - 32 Mon 17:00 - 17:50
Computer Aided Lab Offering 4 Week(s) - 25 Thurs 16:00 - 16:50
Spring