Data Analysis for Economists - EC314

Location Term Level Credits (ECTS) Current Convenor 2019-20
Canterbury Autumn
View Timetable
4 15 (7.5) DR L Buchanan-Hodgman




Only available to students studying single honours programmes in the School of Economics



The module introduces students to fundamental key skills used by economists in the application of economics to real world issues. It develop students' use of information technology and their ability to access electronic and other secondary sources of data. In particular, the module promote students' computing and quantitative skills within a structured environment.
The module covers the following topics:

• Data collection and sampling, accessing and downloading electronic data
• Descriptive statistics, graphical and numerical techniques for summarising data
• Index numbers, Paasche and Laspeyres indices, chained and non-chained indices
• National income accounts, growth accounting, logarithm and exponent functions
• Investment decisions, discounting, NPV, internal rates of return


This module appears in:

Contact hours

11 lectures
6 seminars
11 PC workshops
9 drop-ins


This module is compulsory for all students studying single honours degrees in Economics and is optional for those students on joint Economics degree programmes.
This module is not available to students across other degree programmes in the University.

Method of assessment

Data Report 1 (2000 words) (25%)
Data Report 2 (2000 words) (25%)
Workshop Attendance (10%)
Group Project (2500 words) (40%)

Indicative reading

Davis, G. and B. Pecar (2013), Business Statistics using Excel, 2nd Edition, OUP.
Etheridge, D. (2010), Excel Data Analysis: Your Visual Blueprint for Creating and Analyzing Data, Charts and Pivot Tables (3rd ed), John Wiley.
Barrow, M. (2013), Statistics for Economics, 6th Edition, Prentice Hall.
Whigham, D. (2007), Business Data Analysis using Excel, OUP.

See the library reading list for this module (Canterbury)

Learning outcomes

On successful completion of this module, you will be able to:
* search, identify and access secondary data sources.
* utilise spreadsheets, in particular, Microsoft Excel.
* utilise specialist data analysis and reporting tools e.g. Macrobond
* undertake graphical and numerical data analyses.
* apply data analysis techniques in the context of economic theory and policy.

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