EC318-Econometric Methods

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: 2023/4

Module Convenor: Dr Stephen Kastoryano
Email: s.p.kastoryano@reading.ac.uk

Type of module:

Summary module description:

This module will provide an up-to-date treatment of econometrics with a focus on various causal inference techniques. Both theoretical derivations and empirical analysis of real economic data are key components of this module. In particular, programming of various econometric techniques with application to real economic data in R software will also be introduced. Prerequisites include a good understanding of statistics and introductory econometrics.

Aims:

The aim of this module is to provide a solid grounding in recent developments in causal inference econometrics with its applications in analysing real economic problems.ÌýIt enables the students to analyse real data problems using most appropriate econometric technique and interpret the problems from the perspective of cause effects instead of simple correlations.

Assessable learning outcomes:

At the end of the module students should be able to:

• interpret the core methods of causal inference econometrics;


• understand articles and books which make use of causal inference econometric techniques;


• critically assess empirical econometrics;


• undertake empirical estimation tasks using R programming.Ìý

Additional outcomes:

Improved understanding of mathematical arguments.

A general ability to structure and solve problems.

Greater familiarity and confidence with econometric software and programming.

Outline content:

• The Linear Regression Model and OLS Estimation


• Causal Effects and the Potential Outcome Framework


• Instrumental Variable Estimation


• Panel Data Estimation


• Difference-in-Difference Estimation

Brief description of teaching and learning methods:
Formal lectures and practical classes; supported independent study.

Contact hours:

Ìý	Autumn	Spring	Summer
Lectures	20		2
Tutorials	5
Guided independent study:	155		18
Ìý	Ìý	Ìý	Ìý
Total hours by term	180	0	20
Ìý	Ìý	Ìý	Ìý
Total hours for module	200

Summative Assessment Methods:

Method	Percentage
Written exam	50
Project output other than dissertation	50

Summative assessment- Examinations:

One 3 hourÌý in-person exam that consists of an unseen written paper which counts towards 50% of the overall module mark.

Part 3 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:

A final project that expects the students to analyse TWO real economic data sets using the techniques introduced during the lecture and using R programming in particular. This project will count towards 50% of the overall module mark.

The project will be due in January, 2024.

Formative assessment methods:

Exercises discussed during the lectures and seminars.

Penalties for late submission:

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.

The University policy statement on penalties for late submission can be found at: /cqsd/-/media/project/functions/cqsd/documents/cqsd-old-site-documents/penaltiesforlatesubmission.pdf
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):

) Required text books:ÌýÌý

2) Specialist equipment or materials:ÌýÌý

3) Specialist clothing, footwear or headgear:ÌýÌý

4) Printing and binding:Ìý There may be optional costs associated with photocopying or printing sources listed on the reading list relating to this module. Please note that the Library charges approximately 5p per photocopy.

5) Computers and devices with a particular specification:ÌýÌý

6) Travel, accommodation and subsistence:ÌýÌý

Last updated: 24 August 2023