Module Provider: APD
Number of credits: 20 [10 ECTS credits]
Terms in which taught: Autumn term module
Non-modular pre-requisites: Basic statistics
Modules excluded:
Module version for: 2017/8

Module Convenor: Dr Ariane Kehlbacher

Email: a.kehlbacher@reading.ac.uk

Summary module description:
The prerequisites for this course are a facility with elementary mathematics and statistics such as derivatives, probability distributions and random variables. Although advanced mathematics and statistics are not required, those students with an insufficient background should engage in intensive self-study prior to the start of the course. Students should also be familiar with introductory concepts in economics.

This module provides an introduction to different data analysis techniques. At the end of this module students should be able to
•translate data into models to make forecasts and to support decision making
•understand the key topics in econometrics
•have the necessary data-handling and programming skills to carry out econometric estimation of models
•evaluate model outputs and take remedial actions if necessary

Assessable learning outcomes:
At the end of the modules, students should be able to:
•Understand how economics and statistics are used in combination to analyse data in modern econometrics.
•Combine data handling skills and econometric software skills to undertake applied econometric analysis and evaluate and interpret results

Additional outcomes:

Outline content:
1.Simple Linear Regression
2.Multiple Regression Model
3.Model specification
5.Serial correlation
6.Times series
7.Qualitative and limited dependent variables

Brief description of teaching and learning methods:
Lectures and practical classes.

Contact hours:
  Autumn Spring Summer
Lectures 20
Tutorials 10
Practicals classes and workshops 20
Guided independent study 150
Total hours by term 200.00
Total hours for module 200.00

Summative Assessment Methods:
Method Percentage
Practical skills assessment 60
Class test administered by School 40

Other information on summative assessment:
The course will be assessed with a practical, computer based assignment and a class test (10% of final mark) in week 3 and another class test (30% of final mark) in the second week of the Spring Term. The coursework assignment will count for 60% of the final mark. The coursework assignment will be distributed in the eighth week of the Autumn term and will be due back at the end of the Spring term.

Formative assessment methods:

Penalties for late submission:
Penalties for late submission on this module are in accordance with the University policy. Please refer to page 5 of the Postgraduate Guide to Assessment for further information: http://www.reading.ac.uk/internal/exams/student/exa-guidePG.aspx

Length of examination:

Requirements for a pass:
A mark of 50% overall.

Reassessment arrangements:
Coursework assignment to be carried out in August.

Additional Costs (specified where applicable):
1) Required text books:
2) Specialist equipment or materials:
3) Specialist clothing, footwear or headgear:
4) Printing and binding:
5) Computers and devices with a particular specification:
6) Travel, accommodation and subsistence:

Last updated: 31 March 2017

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