Maths for Economics

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  • Edition: 4th
  • Format: Paperback
  • Copyright: 2016-05-03
  • Publisher: Oxford University Press

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Supplemental Materials

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Drawing on his extensive experience teaching in the area, Geoff Renshaw has developed Maths for Economics to enable students to master and apply mathematical principles and methods both in their degrees and their careers.

Through the use of a gradual learning gradient and the provision of examples and exercises to constantly reinforce learning, the author has created a resource which students can use to build their confidence - whether coming from a background of a GCSE or A Level course, or more generally for students who feel they need to go back to the very basics.

Knowledge is built up in small steps rather than big jumps, and once confident that they have firmly grasped the foundations, the book helps students to make the progression beyond mechanical exercises and on to the development of a maths tool-kit for the analysis of economic and business problems - an invaluable skill for their course and future employment.

The Online Resource Centre contains the following resources:

For Students:
Ask the author forum
Excel tutorial
Maple tutorial
Further exercises
Answers to further questions
Expanded solutions to progress exercises

For Lecturers (password protected):
Test exercises
Graphs from the book
Answers to test exercises
PowerPoint presentations
Instructor manual

Author Biography

Geoff Renshaw, Associate Fellow, Department of Economics, Warwick

Table of Contents

Part One: Foundations
1. Arithmetic
2. Algebra
3. Linear equations
4. Quadratic equations
5. Some further equations and techniques
Part Two: Optimization with one independent variable
6. Derivatives and differentiation
7. Derivatives in action
8. Economic applications of functions and derivatives
9. Elasticity
Part Three: Mathematics of finance and growth
10. Compound growth and present discounted value
11. The exponential function and logarithms
12. Continuous growth and the natural exponential function
13. Derivatives of exponential and logarithmic functions and their applications
Part Four: Optimization with two or more independent variables
14. Functions of two or more independent variables
15. Maximum and minimum values, the total differential, and applications
16. Constrained maximum and minimum values
17. Returns to scale and homogenous functions; partial elasticities; growth accounting; logarithmic scales
Part Five: Some further topics
18. Integration
19. Matrix algebra
20. Difference and differential equations
W21. Extensions and future directions (on the Online Resource Centre)

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