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Mathematical Economics - ECO00007H

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  • Department: Economics and Related Studies
  • Module co-ordinator: Dr. Anindya Bhattacharya
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2018-19

Professional requirements

Pre-requisite information

  • Probability 1 (ECO00011C) or Introduction to Probability and Statistics (MAT00004C)
  • Economics 2 - Microeconomics (ECO00025I) or Microeconomics 2 (ECO00001I)
  • Economics 2 - Macroeconomics (ECO00026I) or Macroeconomics 2 (ECO00002I)

Related modules

Co-requisite modules

  • None

Prohibited combinations

  • None

Module will run

Occurrence Teaching cycle
A Autumn Term 2018-19 to Spring Term 2018-19

Module aims

  • To introduce students to the topic of decision-making under uncertainty and in interactive set-up
  • To introduce students to some of the mathematical assumptions and analyses that underlie our economic intuition and which are typically used in order to derive economic properties of the equilibrium ideas in a rigorous fashion

Module learning outcomes

On completing the module a student will be able to:

  • Have acquired a small set of analytical methods of argument and proof
  • Have developed problem solving skills in formally stated economic problems
  • Appreciate the links between economic theory and formal mathematical analysis
  • Have acquired a set of analytical methods, and practice and skill in using them in problem solving; and an appreciation of how the economic theory works in these areas


Task Length % of module mark
University - closed examination
Mathematical Economics
3 hours 100

Special assessment rules



Task Length % of module mark
University - closed examination
Mathematical Economics
3 hours 100

Module feedback

Information currently unavailable

Indicative reading

For decision making under uncertainty:

  • Gollier, C. (2001). The Economics of Risk and Time. MIT Press.

The following textbooks would also be helpful:

  • Laffont, J.-J. (1989). The Economics of Uncertainty and Information. MIT Press.
  • Hirshleifer, J. & Riley, J.G. (1992). The Analysis of Uncertainty and Information. Cambridge University Press.
  • Kreps, D M. (1988). Notes on the Theory of Choice. Westview Press Inc.

For Game Theory:

  • Mas-Colell, A., Whinston, M.D. and Green, J.R. (1995). Microeconomic Theory. Oxford University Press.

The following textbooks would also be helpful:

  • Gibbons, R. (1992). A Primer in Game Theory. Prentice-Hall.
  • Osborne, M.J. (2004). An Introduction to Game Theory. Oxford.

There are also some supplementary materials and papers.

The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.