ES50107: Computational economics
[Page last updated: 12 August 2021]
Academic Year: | 2021/2 |
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: |
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Assessment Summary: | CW 50%, EX 50% |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: | |
Aims: | The unit aims to introduce students to methods used to solve economic and financial problems computationally.
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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
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Notes:
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