Overview

Mathematics for Economists with Applications provides detailed coverage of the mathematical techniques essential for undergraduate and introductory graduate work in economics, business and finance. Beginning with linear algebra and matrix theory, the book develops the techniques of univariate and multivariate calculus used in economics, proceeding to discuss the theory of optimization in detail. Integration, differential and difference equations are considered in subsequent chapters. Uniquely, the book also features a discussion of statistics and probability, including a study of the key distributions and their role in hypothesis testing. Throughout the text, large numbers of new and insightful examples and an extensive use of graphs explain and motivate the material. Each chapter develops from an elementary level and builds to more advanced topics, providing logical progression for the student, and enabling instructors to prescribe material to the required level of the course. With coverage substantial in depth as well as breadth, and including a companion website at www.routledge.com/cw/bergin, containing exercises related to the worked examples from each chapter of the book, Mathematics for Economists with Applications contains everything needed to understand and apply the mathematical methods and practices fundamental to the study of economics.

Full Product Details

Author:   James Bergin
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Dimensions:   Width: 17.40cm , Height: 3.60cm , Length: 24.60cm
Weight:   1.240kg
ISBN:  

9780415638289

ISBN 10:   0415638283
Pages:   690
Publication Date:   18 December 2014
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1. Introduction 2. Matrices and Systems of Equations 3. Linear Algebra: Applications 4. Linear Programming 5. Functions of One Variable 6. Functions of One Variable: Applications 7. Systems of Equations, Differentials and Derivatives 8. Taylor Series 9. Vectors 10. Quadratic Forms 11. Multivariate Optimization 12. Equality Constrained Optimization 13. Inequality Constrained Optimization 14. Integration 15. Eigenvalues and Eigenvectors 16. Differential Equations 17. Linear Difference Equations 18. Probability and Distributions 19. Estimation and Hypothesis Testing

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Author Information

James Bergin is Professor of Economics at Queen’s University, Canada.

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