EC205NU-Intermediate Econometrics

Module Provider: School of Politics, Economics and International Relations
Number of credits: 20 [10 ECTS credits]
Level:5
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites: EC204NU Introductory Econometrics and EC206NU Intermediate Mathematics for Economics
Modules excluded:
Current from: 2021/2

Module Convenor: Dr Hussein Hassan
Email: hussein.hassan@reading.ac.uk

Type of module:

Summary module description:

This module complements EC204 and will provide foundations for EC318. This module will explore more deeply ordinary least squares (OLS) regression and OLS properties, hypothesis testing, explore departures from standard assumptions and will further develop statistical software skills.

Module lead at NUIST: Babatunde KazeemÌý(alasinrin@siswa.ukm.edu.my)

Aims:

To provide a deeper understand of ordinary least squares regression and the assumptions underlying OLS, including derivations.

To further develop statistical software and programming skills.

Assessable learning outcomes:

At the end of the module students should be able to:

• Derive the OLS estimator and proofs of the OLS assumptions


• Understand departures form the OLS assumptions and their consequences


• Understand more deeply hypothesis testing and estimation methods.Ìý


• Undertake estimation tasks using computer software.

Additional outcomes:

Greater familiarity with econometric software and programming.

Outline content:

Formal lectures and computer classes; supported independent study.

Brief description of teaching and learning methods:

Formal lectures and computer classes; supported independent study.

Contact hours:

Ìý	Autumn	Spring	Summer
Lectures		89
Practicals classes and workshops		7
Guided independent study:	Ìý	Ìý	Ìý
Ìý Ìý Wider reading (independent)		40
Ìý Ìý Exam revision/preparation		20
Ìý Ìý Advance preparation for classes		10
Ìý Ìý Revision and preparation		20
Ìý Ìý Reflection		14
Ìý	Ìý	Ìý	Ìý
Total hours by term	0	200	0
Ìý	Ìý	Ìý	Ìý
Total hours for module	200

Summative Assessment Methods:

Method	Percentage
Written exam	60
Set exercise	20
Class test administered by School	20

Summative assessment- Examinations:

One 2-hour unseen written paper.

Summative assessment- Coursework and in-class tests:

There will be one assignmentÌýand one end-of-class test.

Formative assessment methods:

Exercises discussed during the lectures and classes.

Penalties for late submission:

The Support Centres will apply the following penalties for work submitted late:

• where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of five working days;
• where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

The University policy statement on penalties for late submission can be found at:
You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Assessment requirements for a pass:

A minimum overall mark of 40%.

Reassessment arrangements:

Re-assessment for all modules takes place in August/September of the same year.



Re-assessment is by examination only; coursework is not included at the second attempt.

Additional Costs (specified where applicable):

1) Required text books: None

2) Specialist equipment or materials: None

3) Specialist clothing, footwear or headgear: None

4) Printing and binding: There may be optional costs associated with photocopying or printing sources listed on the reading list relating to this module. Please note that the Library charges approximately 5p per photocopy.

5) Computers and devices with a particular specification: None

6) Travel, accommodation and subsistence: None

Last updated: 5 October 2021