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ECO-20042 - Module Specification
Keele Business School
Faculty of Humanities and Social Sciences

For academic year: 2022/23 Last Updated: 19 January 2023

ECO-20042 - Introduction to Econometrics
Coordinator:
Lecture Time: See Timetable...
Level: Level 5
Credits: 15
Study Hours: 150
School Office: 01782 733094

Programme/Approved Electives for 2022/23

None

Available as a Free Standing Elective

Yes

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2022/23

This module is designed especially to cater for the needs of students taking the Single Honous Principal Economics, Business Economics, Principal Finance, or Accounting and Finance. The module is structured to assist them in understanding the technical and quantitative aspects of the subject.
The module will introduce and develop students' understanding of econometrics and the use of statistical methods to investigate selected economic and financial issues (e.g. consumption functions, household labour supply, CAPM) in order to facilitate the reading of published empirical articles in their other modules.

Aims
The aim of this module is to demonstrate the application of theoretical and empirical quantitative methods to particular issues in economics and finance. The unit describes how to formulate an economic model, estimate the model, interpret and evaluate the results. Students will learn these concepts through practical classes, which will lead them to develop investigative/research skills.

Intended Learning Outcomes

Apply the elements of statistical inference in a variety of different contexts
: 1,2
Evaluate the adequacy of a given model using a battery of diagnostic tests: 1,2
Formulate data analysis problems in a statistical framework, choose appropriate models for situations involving uncertainty, and understand their key elements and properties: 1,2
Apply statistical models and methods to solve practical problems; evaluate statistical evidence; interpret the results of statistical analyses; comment critically on econometric modelling approaches.
: 1,2
Use industry standard software for statistical analysis: 1,2
Use the methodologies for data analysis, such as: analysis of variance and simple and multiple regression
: 1,2

Study hours

18 hours lectures
6 hours tutorials/lab classes
18 hours preparation for classes
20 hours assignment preparation
88 hours independent study

School Rules

ECO-20049 Statistics with Bloomberg

Description of Module Assessment

1: Exam weighted 60%
End of semester exam (take-away exam)
Assessment 1 is a take-away exam which will be available on KLE for 24-hours to answer and submit your answer via Turnitin File. Although students have been given significant time to complete this exam script, we expect most students to spend no more than 2 hours to complete and submit their answers via Turnitin (with a maximum of 1200 words). Answers should be as accurate and concise as possible.

2: Report weighted 40%
Short report based on lab class exercise
800-word report on STAT output analysing a data set used during the computer lab classes.

Please note that for the 2022/23 Academic Year programmes may be adapted to operate in accordance with a flexible, digital approach. This means that there may be some changes made to how modules are delivered and assessed. The latest information will be provided to you by your School in module handbooks. We endeavour to give you as much notice as possible of any changes and details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/student-terms-and-conditions/

Last Updated: 19 January 2023