Mathematics for Economists

3,21 valoración promedio
( 14 valoraciones por Goodreads )
 
9780719087059: Mathematics for Economists

This book is a self-contained treatment of all the mathematics needed by undergraduate and masters-level students of economics. Building up gently from a very low level, the authors provide a clear, systematic coverage of calculus and matrix algebra. The second half of the book gives a thorough account of optimisation and dynamics in discrete and continuous time. The final two chapters are an introduction to the rigorous mathematical analysis used in graduate-level economics. The emphasis throughout is on intuitive argument and problem-solving. All methods are illustrated by well-chosen examples and exercises selected from central areas of modern economic analysis. The book's careful arrangement in short chapters enables it to be used in a variety of course formats for students with and without prior knowledge of calculus, as well as for reference and self-study. New features of the third edition include: > sections on double integration and dynamic programming; > substantial rewriting and expansion of early chapters, making the book highly accessible for the complete beginner. > answers to all exercises and full solutions to all problems are available free online at -- .

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About the Author:

Malcolm Pemberton is Senior Lecturer in Economics at University College London. Nicholas Rau is Honorary Senior Lecturer in Economics at University College London. Nicholas Rau is Honorary Senior Lecturer in Economics at University College London, Nicholas Rau is Honorary Senior Lecturer in Economics at University College London -- .

Review:

This is a great text to learn from - the authors do an excellent job providing intuitive explanations, making connections between results and illustrating the use of mathematics in solving economics problems, and there is a host of solved exercises which perform two roles: providing essential practice material and introducing further applications in economics. Andrew Chesher, Director of The Centre for Microdata Methods and Practice, IFS and UCL -- .

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