Applied Econometrics I

Code	School	Level	Credits	Semesters
ECON2005	Economics	2	20	Autumn UK

Code: ECON2005
School: Economics
Level: 2
Credits: 20
Semesters: Autumn UK

Summary

An introduction to the theory and practice of econometric methods, focusing on regression analysis and its application to economic situations. The module will pay particular attention to the principles of estimation and inference in the multiple regression model, and will rely on illustrations and intuition to develop understanding of the techniques and their interpretation. Students deepen their understanding of the material covered in the lectures via a series of ‘hands-on’ computer exercises, videos and classes focusing on specialist econometric software and a set of tutorials that will review worked examples.

Target Students

Available for Year 2 Undergraduate students on Economics degree programmes, including BA Jt Hons Politics and Economics students who have studied ECON1044 Mathematical Economics and Econometrics or ECON1045 Quantitative Economics or ECON1046 Mathematical Economics and Statistical Methods or ECON1047 Quantitative Methods. Available for Economics Exchange students.

Co-requisites

Modules you must take in the same academic year, or have taken in a previous year, to enrol in this module:

Classes

This module is delivered through a combination of lectures, computer classes, tutorials and pre-recorded videos.

Assessment

20% Coursework 1: Group Coursework
5% Coursework 2: Online quizzes
75% Exam 1 (2-hour): Exam

Assessed by end of autumn semester

Educational Aims

The main aims of this module are to:Introduce students to the principles, uses and interpretation of regression analysis most commonly employed in applied economics using cross-section data.Enable students to undertake empirical analyses using specialist econometric software.The module also aims to enable students to develop, co-ordination with others through problem-based group work and digital capabilities through an ability to understand verbal, graphical, mathematical and econometric representation of ideas and analysis.

Learning Outcomes

On completion of this module students should be able to:

Demonstrate understanding of the assumptions, methods and data used in regression analysis.
Interpret and manipulate the coefficients of multiple regressions and performance criteria.
Conduct hypothesis testing on the coefficients of regression equations.
Perform econometric analyses of their own using economic data.

Emphasised Learning outcomes are such that students will be able to:

Knowledge and Understanding:

A4 Demonstrate understanding of verbal, graphical, mathematical and econometric representation of economic ideas and analysis, including the relationship between them.
A5 Show understanding of relevant mathematical and statistical techniques.

Intellectual Skills:

B3 Be able to evaluate, analyse and present quantitative data.

Professional/Practical Skills:

C2 Understand the sources and content of economic data and evidence, as well as appropriate methods of analysis.

Transferable/Key Skills:

D1 Apply mathematical, statistical and graphical techniques in an appropriate manner.
D3 Use appropriate IT packages effectively.

Conveners

Professor Abigail Barr

View in Curriculum Catalogue

Last updated 07/01/2025.