Del i serien Springer Texts in Business and Economics

Mathematical Economics

Prelude to the Neoclassical Model

Häftad, Engelska, 2020

AvKam Yu

929 kr

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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 curriculum and the rigorous mathematical modeling 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 builds 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.

Produktinformation

Utgivningsdatum2020-11-15
Mått155 x 235 x 16 mm
Vikt356 g
FormatHäftad
SpråkEngelska
SerieSpringer Texts in Business and Economics
Antal sidor214
FörlagSpringer Nature Switzerland AG
ISBN9783030272913

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“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 andsenior college students.” (Fernando Tohmé, zbMATH 1471.91005, 2021)