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Dynamic Modelling for Economists - ECO00034I

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• Department: Economics and Related Studies
• Module co-ordinator: Dr. Makoto Shimoji
• Credit value: 20 credits
• Credit level: I
• Academic year of delivery: 2023-24

Module summary

To learn tools to analyse dynamic economic contexts in continuous time.

Related modules

Additional information

prerequisite: Mathematics for Economists

Students must have studied the theory of integration prior to taking this module

Module will run

Occurrence	Teaching cycle
A	Semester 1 2023-24

Module aims

• To learn tools which are used to analyse dynamic contexts in continuous time.

• To apply these techniques to solve problems in economics contexts

Module learning outcomes

On completing the module a student will be able to:

• Be able to use tools for dynamic contexts in continuous time

• Analyse economic processes that evolve through time

Module content

The module covers first-order differential equations, and higher-order differential equations, calculus of variations and control theory..

The textbook we currently use is "Further Mathematics for Economic Analysis". We may adopt a different textbook if appropriate.

Assessment

Task	Length	% of module mark
Closed/in-person Exam (Centrally scheduled) Dynamic Modelling for Economists	2 hours	80
Essay/coursework Dynamic Modelling for Economists	N/A	10
Essay/coursework Dynamic Modelling for Economists	N/A	10

Special assessment rules

None

Reassessment

Task	Length	% of module mark
Closed/in-person Exam (Centrally scheduled) Dynamic Modelling for Economists	2 hours	80

Module feedback

Feedback will be provided in line with University policy

Indicative reading

Sydsæter, K. [et al.] (2008). Further mathematics for economic analysis / Knut Sydsaeter ... [et al.]. (2nd ed.). Harlow: Financial Times Prentice Hall.