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ES50107: Computational economics

Academic Year: 2018/9
Owning Department/School: Department of Economics
Credits: 6      [equivalent to 12 CATS credits]
Notional Study Hours: 120
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 2
Assessment Summary: CW 50%, EX 50%
Assessment Detail:
  • Coursework (CW 50%)
  • Exam (EX 50%)
Supplementary Assessment:
ES50107 - Reassessment (where allowed by programme regulations)
Requisites:
Description: Aims:
The unit aims to introduce students to methods used to solve economic and financial problems computationally.

Learning Outcomes:
At the end of the unit students will be expected to be able to:
* Use Matlab to solve economic problems numerically
* Evaluate the benefits and shortcomings of numerical methods in a variety of contexts
* Assess the limits of computational methods to solve economic problems

Skills:

* Apply numerical methods to solve for equilibria in economic systems (TFA)
* Apply numerical methods to improve the statistical assessment of data (TFA)
* Use numerical methods to price assets (TFA)

Content:

* Programming in Matlab
* Numerical methods to solve for the equilibrium of linear and non-linear economic systems
* Numerical methods to simulate asset prices and derivatives
* The use of Monte-Carlo methods to solve economic optimization problems
* Computational methods used in statistical inference.
Programme availability:

ES50107 is Optional on the following programmes:

Department of Economics

Notes:

  • This unit catalogue is applicable for the 2018/19 academic year only. Students continuing their studies into 2019/20 and beyond should not assume that this unit will be available in future years in the format displayed here for 2018/19.
  • Programmes and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Undergraduates: .
  • Postgraduates: .