Applied Econometrics 1

Module title	Applied Econometrics 1
Module code	BEEM011
Academic year	2019/0
Credits	15
Module staff	Dr Jack Rogers (Convenor) Dr Eva Poen (Lecturer)

Duration: Term	1	2	3
Duration: Weeks	12

Number students taking module (anticipated)	140

Module description

This module includes the basic statistical foundation to study econometrics, the simple linear regression model, multi-regression model, empirical examples (CAPM, Demand function study), linear time series and nonlinear time series models.

Module aims - intentions of the module

The module aims to provide students with an applied econometric foundation necessary in order to conduct a high-standard empirical analysis of economic and finance data.

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

On successfully completing the module you will be able to...

1. Demonstrate aptitude in the econometric techniques to analyse economic and financial data
2. Exhibit technical expertise to analyse the data with a econometric software package

ILO: Discipline-specific skills

On successfully completing the module you will be able to...

3. Formulate hypotheses of interest, derive the necessary tools to test these hypotheses and interpret the results
4. Demonstrate a specialised knowledge of linking the theory and empirical questions

ILO: Personal and key skills

On successfully completing the module you will be able to...

5. Solve the analytical problems and provide appropriate interpretation of the outcomes for decision making
6. Demonstrate data analysis skills

Syllabus plan

The syllabus plan is as follows:

Statistical fundamentals
Linear regression models
Empirical examples of linear regression models
Further issues on linear regression model
Linear time series
Nonlinear time series

Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching Activities	Guided independent study	Placement / study abroad
36	114

Details of learning activities and teaching methods

Category	Hours of study time	Description
Scheduled Learning and Teaching activities	33	Lectures (102 hours+1h (week1 )) and Tutorials (111 hour)
Guided independent study	40	Writing up reports from empirical analysis of real data
Guided independent study	40	Reading and research
Guided independent study	36	Learning and practicing the econometric software package

Formative assessment

Form of assessment	Size of the assessment (eg length / duration)	ILOs assessed	Feedback method
Weekly exercises	5-10 questions	1-6	Verbal

Summative assessment (% of credit)

Coursework	Written exams	Practical exams
40	60	0

Details of summative assessment

Form of assessment	% of credit	Size of the assessment (eg length / duration)	ILOs assessed	Feedback method
Two written Assignments	40	1500 words maximum each	1-6	Written
Written Exam	60	2 hours	1, 3, 4 and 5	Written

Details of re-assessment (where required by referral or deferral)

Original form of assessment	Form of re-assessment	ILOs re-assessed	Timescale for re-assessment
Two assignments	Two assignments (1500 words each) 40%	1-6	July
2 hour exam	2 hour exam 60%	1, 3, 4 and 5	August

Indicative learning resources - Basic reading

Basic reading:

Basic Econometrics by Damodar N. Gujarati, 2009 (McGram Hill),

Introduction to Econometrics by Christopher Dougherty, 2016 (Oxford)

The Econometric Modelling of Financial Time Series by Terence C. Mills 2008 (Cambridge)

Indicative learning resources - Other resources

Time Series Modelling (TSM): Econometrics Software Package

Key words search

Econometrics

Credit value	15
Module ECTS	7.5
Module pre-requisites	None
Module co-requisites	None
NQF level (module)	7
Available as distance learning?	No
Origin date	29/09/2016
Last revision date	24/09/2019