Advanced Mathematical Economics - Concise Graduate Textbook
Advanced Mathematical Economics - Concise Graduate Textbook
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Our review of Advanced Mathematical Economics concludes it is a focused and rigorous text for students ready to move beyond introductory math. The book's single biggest reason to buy is its compact, well-organised presentation of advanced tools such as convex sets, feasibility, and optimisation, which makes it especially useful as a course companion or self-study bridge to research work. Readers will find the writing direct and the chapters structured to build technical competence without unnecessary detours, making it an efficient reference for higher level undergraduates and postgraduate students.
Key Features
- Concise presentation: Each chapter gives a focused treatment of a topic so readers can grasp core concepts quickly and apply them to economic models.
- Feasibility and convex sets: The book provides clear development of feasibility problems and the geometry of convex sets, aiding understanding of constraint analysis.
- Linear and non-linear programming: Practical coverage of optimisation techniques helps students handle both constrained linear problems and more complex non-linear cases.
- Lattices and supermodularity: Inclusion of lattice theory and supermodularity offers tools useful for comparative statics and strategic complementarities.
- Student-friendly style: Although advanced, the exposition is designed to be accessible to students moving from undergraduate to postgraduate mathematics in economics.
Who It's For
The primary audience is higher level undergraduates in economics who need a compact, rigorous bridge to postgraduate work, and postgraduate students who want a concise reference that collects core mathematical methods used in economic theory. Graduate seminar attendees will also appreciate chapters that can be read selectively as assigned readings.
Those who should look elsewhere include readers seeking an elementary introduction to calculus or linear algebra, or applied students wanting extensive empirical examples; this book focuses on formal mathematical economics rather than step-by-step numerical exercises or software applications.
Pros & Cons
Pros
- Compact coverage of advanced topics makes it efficient for course use and revision.
- Clear treatment of convexity and feasibility provides a solid foundation for optimisation problems.
- Dedicated chapters on lattices and supermodularity add depth for game theory and comparative statics.
Cons
- Not suited for beginners who lack a solid undergraduate mathematics background.
- Limited applied examples or numerical exercises for readers seeking hands-on practice.
Specifications
| Title | Advanced Mathematical Economics (Routledge Advanced Texts in Economics and Finance) |
| Author | Rakesh V. Vohra |
| Intended audience | Higher level undergraduates and postgraduate students in mathematical economics |
| Key topics | Feasibility, Convex Sets, Linear and Non-linear Programming, Lattices, Supermodularity |
| Approach | Concise, student-friendly textbook presentation |
Our Verdict
Advanced Mathematical Economics is a worthwhile purchase for students who need a compact, rigorous treatment of core mathematical tools used in economic theory; its focused chapters save time and provide a dependable reference for coursework and early research, making it good value for those prepared for a mathematical presentation.
Frequently Asked Questions
Is this book suitable for self-study?
The book is suitable for motivated self-study if you already have an undergraduate background in calculus and linear algebra.
Does it include applied examples or software guidance?
No, the text focuses on formal mathematical exposition rather than applied numerical examples or software tutorials.
Who is the author?
The book is by Rakesh V. Vohra, presented as a concise advanced text in economics and finance.
Editor's Take
Advanced Mathematical Economics is a compact, rigorous textbook ideal for higher-level undergraduates and postgraduates who need a focused treatment of convexity, feasibility and optimisation; it serves well as a course companion and reference.

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