Essential Mathematics for Economic Analysis (2nd Edition) | 
 enlarge | Authors: Knut Sydsaeter, Peter Hammond
Publisher: Prentice Hall
Category: Book
List Price: $129.33
Buy New: $68.63
You Save: $60.70 (47%)
New (15) Used (11) from $64.00
Rating:  1 reviews
Sales Rank: 624317
Media: Paperback
Edition: 2
Pages: 728
Number Of Items: 1
Shipping Weight (lbs): 2.7
Dimensions (in): 9.6 x 7.4 x 1.1
ISBN: 027368180X
Dewey Decimal Number: 330.0151
EAN: 9780273681809
Publication Date: September 30, 2005
Availability: Usually ships in 1-2 business days
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Condition: Paperback. 2nd Edition. Brand New, Never Read! Express Delivery! Ready to ship! Email Tracking Number. If PO Box/APO/FPO, please provide physical address. Thank you!
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Product Description
The book is by far the best choice one can make for a course on mathematics for economists. It is exemplary in finding the right balance between mathematics and economic examples. Dr Roelof J Stroeker, Erasmus University, Rotterdam. The writing style is superb it manages to allow intuitive understanding whilst not sacrificing mathematical precision and rigour. Dr Steven Cook, University of Wales Swansea Essential Mathematics for Economic Analysis provides an invaluable introduction to mathematical analysis and linear algebra for economists. Its main purpose is to help students acquire the mathematical skills they need in order to read the less technical literature associated with economic problems. The coverage is comprehensive, ranging from elementary algebra to more advanced material, whilst focusing on all the core topics usually taught in undergraduate courses on mathematics for economists.
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| Customer Reviews:
Fundamental Mathematical Skills August 4, 2007
JUAN C. GUTIERREZ B. (Medellin, Antioquia COLOMBIA)
6 out of 6 found this review helpful
This book help students acquire mathematical and economic intuition at the same time. There are numerous end of chapter examples and Excel Supplement with exercises. The ordering of the chapters gives to the students the chance to get started learnig first principles of mathematical analysis: Algebra, equations, functions of one variable, differentiation, derivatives, single variable optimization, multivariable optimization, linear algebra & linear programming. The only omission is the absence of eigenvector math.
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