ECM607C-Macroeconometrics

Module Provider: School of Politics, Economics and International Relations
Number of credits: 10 [5 ECTS credits]
Level:7
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2019/0

Email: shixuan.wang@reading.ac.uk

Type of module:

Summary module description:

This module is intended to teach students more advanced macroeconometrics, which focuses time series econometrics with macroeconomic applications. The module considers how to select and apply time series techniques for research. In addition students will develop their econometric software skills using R.

Aims:

The aim of this module is to provide students with a more extensive knowledge and understanding of macroeconometrics, especially applying the techniques for research. Secondly the module will teach students how to apply these econometric techniques, using R.

Assessable learning outcomes:

By the end of the course students should be able to:

• Understand the need and the nature of time series econometrics.


• Implement time series econometric methods using R.


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

Additional outcomes:

Students will develop their research and data handling skills, and be able to critically evaluate methods and approaches chosen by research papers.

Outline content:

Topics may include autoregressive moving-average models, unit root/stationarity tests, model selection and diagnostics, vector autoregressive models, and cointegration.

Brief description of teaching and learning methods:

Teaching will be a combination of lectures and computer classes.

Summative assessment- Examinations:

Summative assessment- Coursework and in-class tests:

There will be one course project which will be due in April.

Formative assessment methods:

There will be computer exercises for each topic, which will be discussed during the lectures and workshops.

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

Assessment requirements for a pass:

A minimum overall mark of 50%.

Reassessment arrangements:

Re-assessment for all modules takes place in August of the same year and a new assigment will be set.

Additional Costs (specified where applicable):

Last updated: 10 April 2019