Mathematical Economics

Prelude to the Neoclassical Model
1. Auflage 2019
ISBN: 978-3-030-27291-3
Verlag: Springer

Buch, Englisch, 214 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 353 g

Reihe: Springer Texts in Business and Economics

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.

Autoren/Hrsg.

Yu, Kam

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Makroökonomie
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Mikroökonomie
• Mathematik | Informatik Mathematik Operations Research
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftstheorie, Wirtschaftsphilosophie

Inhaltsverzeichnis

Chapter 1. Logic and Proof.- Chapter 2. Sets and Relations.- Chapter 3. Basic Topology.- Chapter 4. Linear Algebra.- Chapter 5. Vector Calculus.- Chapter 6. Convex Analysis.- Chapter 7. Optimization.- Chapter 8. Probability.- Chapter 9. Dynamic Modeling.

Über Autor(innen)

Kam Yu studied engineering, mathematics, and economics in Hong Kong, the UK, and Canada. He teaches economics at Lakehead University, where he received a teaching award in 2016. His primary research interest is in the area of social and economic measurement.