EC350-Macroeconometrics

Module Provider: School of Politics, Economics and International Relations
Number of credits: 20 [10 ECTS credits]
Level:6
Terms in which taught: Autumn term module
Pre-requisites: EC204 Introductory Econometrics
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2019/0

Module Convenor: Dr Shixuan Wang

Email: shixuan.wang@reading.ac.uk

Type of module:

Summary module description:

This module is one of two applied econometric modules which provide further development of econometric methods introduced in Parts 1 and 2.Ìý EC350 focuses on macroeconometrics and advanced time series methodsThis module is intended to teach students macroeconometrics, which focuses time series econometrics with macroeconomic applications. In addition students will develop their econometric software skills using R.

Ìý

Aims:

The aim of this module is to provide a solid grounding in recent developments in applied macroeconometrics. It will enable students to understand what is the most appropriate econometric method for a given set of data and problem faced, and gain practical experience (with computer classes) in analysing a wide range of economic questions.

Assessable learning outcomes:

AtBy the end of the modulecourse, students should be able to:

• Understand the need for, and the nature of advancedtime series econometrics.


• Implement time series econometric methods using R.


• Implement advanced macroeconometric methods using common computer software packages.


• Read academic papers in economicsmacroeconometrics and understand the suitability of the methods employed.

Additional outcomes:

Students will be able to understand and comment on the quality of econometric output, both that created by themselves, and that created by others.

Outline content:

Topics may include: single- and multiple-equation time series econometrics, tests for non-autoregressive moving-average models, unit root/stationarity tests, model selection and diagnostics, vector autoregressive models, and cointegration.

Brief description of teaching and learning methods:

Formal lectures and computer classes; supported independent study.

Contact hours:

Ìý	Autumn	Spring	Summer
Lectures	20		2
Practicals classes and workshops	6
Guided independent study:	154		18
Ìý	Ìý	Ìý	Ìý
Total hours by term	180		20
Ìý	Ìý	Ìý	Ìý
Total hours for module	200

Summative Assessment Methods:

Method	Percentage
Written exam	60
Project output other than dissertation	40

Summative assessment- Examinations:

One 3 hour unseen written paper.

Part 3 examinations are held in the Summer term.

Summative assessment- Coursework and in-class tests:

Project output due in the last week of January

Formative assessment methods:

Exercises discussed during the lectures and computer classes.

Penalties for late submission:
The Module Convener 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[1] (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-examination 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):

Last updated: 8 April 2019