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 | | Mathematics for Economists by Carl P. Simon, Lawrence E. Blume ISBN-10: 0393957330 ISBN-10: 0-393-95733-0 ISBN-13: 9780393957334 ISBN-13: 978-0-393-95733-4 Hardcover 1994-04-19 W. W. Norton Find Lowest Price |
Reviews | ||
A good book for undergraduate students, but not for PHD students! This book is clearly much better than Chiang's book and it seems to be a good choice for undergraduate students. Most of the subjects are introduced in a simple way and good examples are also provided. The problem is that the presentation is not the best and this book is also incomplete for advanced studies. Regarding the presentation I strongly believe that linear algebra is not presented in the best way. The correct way to learn linear algebra is the way that it can be easily extended for other abstract spaces such as space of functions (very useful in dynamic programming and advanced econometrics). Furthermore, optimization is not presented in the best way either. The best way to present this topic is based on the construction of the tangent cones. Using this approach is easy for instance to use the Faska's lemma in order to prove the Karush-Kuhn-Tucker conditions of optimality. There some important subjects in this book that are missing for instance the fixed point theorems (very useful to study dynamic programming and market equilibrium) and dynamic programming. | ||
A great book I simply recommend this book to every student of economics fed up about do not understand at all basic mathematics. The book is so brigthly written,clear and helpful. I am in a master in economics and the only thing I can say is that I need something like that when facing daily challenges. | ||
Useful for advanced students This is a very interesting case. People must understand that books on mathematics must be adequate to the level of knowledge and to the goal in terms of study. Basically we can consider that Simon and Blume is for students that: a) Wish to follow to graduate programs - PhD b) Have a solid knowledge on Mathematics This book is NOT for undergraduate students and/or for students that have lack of knowledge on mathematics. I suppose that for a beginner it is wiser to buy and to study books that cover the Essentials on Mathematics for Economics. If you are entering in a Bs/BA in Economics and you don't have a solid mathematical preparation, there are better options available. If you are a graduate student that wish to follow a PhD program, then this book it is for you. | ||
Not worth the price This book is essentially a reference manual for a professor. If you don't already know the material you will not learn it from this book. The price is outragous. This was the worst economics book I have ever bought. Please don't waste your money. | ||
IF you are doing /have done maths, read this book This book is beautiful. clear simple explinations built up in a clear way. 1) explicitly defined Theorems 2) proofs with clear starts and ends. 3) starts at level that should be within the grasp of able A-level students i.e. not much knowledge assumed. 4) contains goods maths followed by economic examples that use it. 5) A wellcome counterpoint to economic books and lectures that use bad maths i) theorems with out showing the conditions are met ii) use floating 'dx's 6)goes to a level beyond undergraduate level to give a strong powerbase. 7)Mathematics is the language of economics. Until you are master of the relevant sections, understanding economics will for you be like reading the Ancient Bible and not knowing hebrew. Therefore even if yours economics degree includes maths techniques modules, you will find yourself using maths, you have not been taught yet. So buy this book and get on top of the maths in your course. 8)get it before you go, read it before you get to uni and then you can spend the first few weeks partying instead of reading maths to keep on top of your course. 9)read this book and feel like a million dollars. 10) if you have NO INTEREST IN ECONOMICS, and are doing maths get this book and it will be a good primer on a whole heap of modules from Linear Algebra to Analysis. | ||