SOAS University of London

Department of Economics

Statistics

Module Code:
153401015
Credits:
30
FHEQ Level:
4
Year of study:
Year 1 or Year 2
Taught in:
Full Year

This module offers a survey of statistical techniques for economists and an introduction to working with economic data.

Objectives and learning outcomes of the module

On successful completion of the course, students should be able to:

  • understand the elementary principles of probability and statistical theory
  • apply basic methods of statistical inference
  • use spreadsheets and statistical software to undertake graphical and statistical analysis of economic data

Scope and syllabus

1.-3. Descriptive statistics: graphical and numerical

4.-5. Probability theory

6.-7. Probability distributions

8. Sampling

9.-11. Estimation

12.-14. Hypothesis testing

15. Analysis of variance (ANOVA)

16. Cluster analysis

17.-19. Regression analysis

20. Sampling methods

Method of assessment

  • Exam 60%
  • Two Assignments 10% each
  • Policy Brief 20%

Suggested reading

Mathematics

Chian, A.C. and K. Wainwright (2005) Fundamental Methods of Mathematical Economics, Fourth Edition. McGraw-Hill.
Jacques, I. (2009) Mathematics for Economics and Business, 5th Edition, Prentice Hall. 
Wisniewski, M. (2003) Mathematics for Economics, 3rd Edition, Palgrave Macmillan.

Statistics

Newbold, P., W. Carlson and B. Thorne (2013) Statistics for Business and Economics (8th edition), Pearson Education Edition.
Barrow, M. (2009) Statistics for Economics Accounting and Business Studies, 5th Edition, Prentice-Hall.
Diez, D., C. Barr and M. Cetinkaya-Rundel (2015) Openintro Statistics, 3rd Edition, Openintro.
Illowsky, B., et al. (2013) Introductory Statistics, Openstax College.
Larsen, R. J. and Marx, M. L. (2011) An Introduction to Mathematical Statistics and Its Applications, Pearson Education

Disclaimer

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