Cover image for Maths for economics
Title:
Maths for economics
Personal Author:
Edition:
2nd ed.
Publication Information:
New York, NY ; Oxford University Press, 2009
Physical Description:
xxiv, 638 p. : ill. (some col.) ; 27 cm.
ISBN:
9780199236817

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30000010226174 HB135 R46 2009 Open Access Book Book
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Summary

Summary

Maths for Economics provides a solid foundation in mathematical principles and methods for economics and business students. It aims to build self-confidence in maths, by adopting a user-friendly style and by reinforcing learning at each step through worked examples and test exercises. The book assumes no prior knowledge of mathematics or economics and the author devotes part one to the revision and consolidation of basic skills in arithmetic, algebra and equation solving. From here there is a carefully calculated learning gradient, increasing in mathematical sophistication as the book progresses, designed to ensure a comprehensive understanding of the concepts for any student. In this latest edition there is a new 4 colour design intended to enhance the pedagogical features in the chapters. Extra material on advanced topics such as Taylor's theorum and comparative statics will be available on the Online Resource Centre.The online resource centre contains the following resources:For Students:Ask the author forumExcel tutorialMaple tutorialFurther exercisesAnswers to further questionsExpanded solutions to progress exercisesFor Lecturers (password protected):Test exercisesGraphs from the bookAnswers to test exercisesPowerPoint presentationsInstructor manual


Author Notes

Geoff Renshaw is in the Department of Economics at the University of Warwick.


Table of Contents

Part 1 Foundations
1 Arithmetic
2 Algebra
3 Linear equations
4 Quadratic equations
5 Some further equations and techniques
Part 2 Optimisation with one independent variable
6 Derivatives and differentiation
7 Derivatives in action
8 Economic applications of functions and derivatives
9 Elasticity
Part 3 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 4 Optimisation 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 homogeneous functions; partial elasticities; logarithmic scales; growth accounting
Part 5 Some further topics
18 Integration
19 Matrix algebra
20 Difference and differential equations