Mathematical Economics

Prelude to the Neoclassical Model

By: Kam Yu

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Hardcover | 15 November 2019

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Hardcover
230 Pages

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23.5 x 15.5 x 1.91

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$149.75

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This textbook provides a one-semester introduction to mathematical economics for first year graduate and senior undergraduate students. Intended to fill the gap between typical liberal arts mathematics curriculum and the more applied mathematics of graduate study in economics, this text provides a concise introduction to the mathematics needed for core microeconomics, macroeconomics, and econometrics courses. Chapters 1 through 5 build up students' skills in formal proof, axiomatic treatment of linear algebra, and elementary vector differentiation. Chapters 6 and 7 present the basic tools needed for microeconomic analysis. Chapter 8 provides a quick introduction to (or review of) probability theory. Chapter 9 introduces dynamic modeling, applicable in advanced macroeconomics courses. The materials assume prerequisites in undergraduate calculus and linear algebra. Each chapter includes in-text exercises and a solutions manual, making this text ideal for self-study.

Industry Reviews

"Even though the book is aimed at serving as a single semester course, it is sufficiently rich in its contents. This makes it stand out from other similar titles. ... Sufficient references have been included for those desirous of delving deeper into the mathematical fundamentals of economics. The book has been written with a lot of caution, brevity and wisdom; and is worth every penny spent on it." (Firdous Ahmad Mala, Journal of Economics, Vol. 136, 2022)
"This book by Prof. Kam Yu is an interesting addition to the literature on the basic mathematical tools for economic analysis (more specifically, for neoclassical economics). It covers a wide range of topics, ranging from topology to probability theory, going through linear algebra, optimization theory and dynamic programming. Its strength lies in a large number of examples and exercises. In that sense, it is useful for junior and senior college students." (Fernando Tohm©, zbMATH 1471.91005, 2021)

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