Data Analysis for Economists - EC314

Location Term Level Credits (ECTS) Current Convenor 2018-19
Canterbury Autumn
View Timetable
4 15 (7.5) DR J Sebu

Pre-requisites

None

Restrictions

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

2018-19

Overview

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
  • Details

    This module appears in:


    Contact hours

    11 lectures
    6 seminars
    11 PC workshops
    9 drop-ins

    Availability

    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)

    See the library reading list for this module (Medway)

    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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