ECON3002J Applied Econometrics

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; autocorrelation etc.

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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

60

Lectures

30

Computer Aided Lab

20

Total

110

Approaches to Teaching and Learning:
Lectures and computer labs. 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Additional Information:
This module is delivered overseas and is not available to students based at the UCD Belfield or UCD Blackrock campuses.


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Continuous Assessment Throughout the Trimester n/a Alternative linear conversion grade scale 40% No

60

Examination: End of trimester exam. 2 hour End of Trimester Exam No Alternative linear conversion grade scale 40% No

40


Carry forward of passed components
No
 
Resit In Terminal Exam
Summer 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?

Throughout the year students will get feedback during their lab session. For all assessment(s), students will be given a detailed correction and a possibility to discuss their performance with the lecturer.

Name Role
Noor Ahmed Khoso Tutor
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 

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