Maths for Economics provides a comprehensive and solid foundation in core mathematical principles and methods used in economics, beginning with revisiting basic skills in arithmetic, algebra, equation solving, and slowly building to more advanced topics.
Suitable for those with a range of prior school-level expereince or more generally for those who feel they need to go back to the very basics, students can learn with confidence.
Drawing on his extensive experience of teaching in the area, the author appreciates that maths can be a daunting topic for many. As such the text is fully supports the reader by using a combination of engaging learning features including summary sections, examples to show how theory is used in practice and progress exercises, which encourage independent study. Each chapter ends with a conclusion check list to allow students to reflect on topics as they master them.
Digital formats and resources
The fifth edition is available for students and institutions to purchase in a variety of formats, and is supported by online resources.
The e-book offers a mobile experience and convenient access along with functionality tools, navigation features, and links that offer extra learning support: www.oxfordtextbooks.co.uk/ebooks
Online resources supporting the book include,
For Students:
- Ask the author forum
- Excel tutorial
- Maple tutorial
- Further exercises
- Answers to further questions
- Expanded solutions to progress exercises
For Lecturers:
- Test exercises
- Graphs from the book
- Answers to test exercises
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
21: W21:Extensions and future directions