Advertisement

Mathematical Economics

Prelude to the Neoclassical Model

  • Kam Yu
Textbook

Part of the Springer Texts in Business and Economics book series (STBE)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Kam Yu
    Pages 1-17
  3. Kam Yu
    Pages 19-42
  4. Kam Yu
    Pages 43-63
  5. Kam Yu
    Pages 65-99
  6. Kam Yu
    Pages 101-118
  7. Kam Yu
    Pages 119-133
  8. Kam Yu
    Pages 135-152
  9. Kam Yu
    Pages 153-176
  10. Kam Yu
    Pages 177-206
  11. Back Matter
    Pages 207-214

About this book

Introduction

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.

Keywords

mathematical economics static optimization dynamical system dynamic optimization dynamic modelling

Authors and affiliations

  • Kam Yu
    • 1
  1. 1.Lakehead UniversityThunder BayCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-27289-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-030-27288-3
  • Online ISBN 978-3-030-27289-0
  • Series Print ISSN 2192-4333
  • Series Online ISSN 2192-4341
  • Buy this book on publisher's site