ECM605-Econometrics 2
Module Provider: School of Politics, Economics and International Relations
Number of credits: 20 [10 ECTS credits]
Level:7
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2022/3
Module Convenor: Dr Shixuan Wang
Email: shixuan.wang@reading.ac.uk
Type of module:
Summary module description:
This module introduces students to more advanced topics and methods in econometrics. The module builds on the material covered in Econometrics 1 and considers how to select and apply the most appropriate econometrics techniques for a given dataset and economic problem. Students will have the opportunity to develop their data analysis skills using particular econometric software programmes.
Aims:
The aim of this module is to provide students with a more extensive knowledge and understanding of advanced econometric methods and their applications. The module will focus on developing both the econometric theory and applications covered in Econometrics 1.
Assessable learning outcomes:
At the end of the module students should be able to:
- explain core concepts and methods in more advanced micro and macroeconometrics;
- explain the conditions under which the methods are valid and their limitations;
- apply the various techniques taught using secondary data and specialist statistical packages, and interpret the results;
- interpret and critically evaluate the econometric methods used in empirical papers.
Additional outcomes:
The ability to evaluate empirical research and data analysis skills acquired in this module will assist students in carrying out their dissertation.
Outline content:
Topics to be covered may include: causality and treatment effects; discrete choice modelling; sample selection issues; instrumental variables; autoregressive moving-average models; unit root/stationarity tests; model selection and diagnostics; forecasting; and cointegration.
Brief description of teaching and learning methods:
This is an applied module delivered through a combination of lectures and PC classes. Lectures will introduce the core concepts and methods, which students will have the opportunity to apply through a series of practical classes, including computer based exercises and discussion of research papers. The emphasis is on the interpretation of statistical evidence and the practical application of techniques.
Autumn | Spring | Summer | |
Lectures | 20 | 2 | |
Practicals classes and workshops | 8 | ||
Guided independent study: | |||
Wider reading (independent) | 8 | ||
Wider reading (directed) | 24 | ||
Exam revision/preparation | 40 | ||
Advance preparation for classes | 40 | ||
Preparation for tutorials | 8 | ||
Preparation of practical report | 25 | ||
Completion of formative assessment tasks | 5 | ||
Reflection | 15 | 5 | |
Total hours by term | 0 | 153 | 47 |
Total hours for module | 200 |
Method | Percentage |
Written exam | 60 |
Project output other than dissertation | 40 |
Summative assessment- Examinations:
One 3-hour unseen written examination. Postgraduate examinations are held in the summer term.
The examination for this module will require a narrowly defined time window and is likely to be held in a dedicated exam venue.
Summative assessment- Coursework and in-class tests:
One empirical research project due at the beginning of the summer term.
Formative assessment methods:
There will be problem sets and computer exercises for each topic, which will be discussed in the weekly seminars/PC classes. Students are expected to attempt these prior to class and will have an opportunity to receive formative feedback during the classes.
Penalties for late submission:
The below information applies to students on taught programmes except those on Postgraduate Flexible programmes. Penalties for late submission, and the associated procedures, which apply to Postgraduate Flexible programmes are specified in the policy Penalties for late submission for Postgraduate Flexible programmes, which can be found here: https://www.reading.ac.uk/cqsd/-/media/project/functions/cqsd/documents/cqsd-old-site-documents/penaltiesforlatesubmissionpgflexible.pdf
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.
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 mark of 50%.
Reassessment arrangements:
Re-assessment for all modules takes place in August/September of the same year.
Re-assessment for this module will be by examination only.
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: None
5) Computers and devices with a particular specification: None
6) Travel, accommodation and subsistence: None
Last updated: 22 September 2022
THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.