Mathematical Models in Economics
An Introduction
(First Edition)
©2024, 310 pages
Paperback list price: $99.95
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Mathematical Models in Economics: An Introduction equips economics students with the foundational knowledge in mathematical models and concepts they need to transition from beginner-level courses to intermediate-level material. The book is designed to bridge the gap between applied math and economics that students face when being confronted with calculus-based economics models for the first time. Written in an approachable and entertaining way, the book helps readers learn to use key math tools, understand a model, and interpret equations within an economics context.
The book covers basic calculus, both single variable and multivariate, optimization, corner solutions, an introduction to comparative statics and duality, with some linear algebra and integration at the end. Applications of unconstrained and constrained optimization to microeconomics, macroeconomics, and econometrics demonstrate the connections between the tools shown and their uses. Throughout the text, students are provided with salient definitions, Making the Connection (to the real world) features, and Quick Check side boxes to increase their understanding of the material and to encourage application and practice of key concepts. Each chapter ends with a series of exercises to help students master the tools and hone their modeling skills.
Professors who adopt the book for their courses will receive an accompanying solutions manual.
The book covers basic calculus, both single variable and multivariate, optimization, corner solutions, an introduction to comparative statics and duality, with some linear algebra and integration at the end. Applications of unconstrained and constrained optimization to microeconomics, macroeconomics, and econometrics demonstrate the connections between the tools shown and their uses. Throughout the text, students are provided with salient definitions, Making the Connection (to the real world) features, and Quick Check side boxes to increase their understanding of the material and to encourage application and practice of key concepts. Each chapter ends with a series of exercises to help students master the tools and hone their modeling skills.
Professors who adopt the book for their courses will receive an accompanying solutions manual.
Christopher Laincz is an associate professor of economics at the LeBow College of Business at Drexel University. He holds a Ph.D. in economics from Duke University, an M.P.A. with concentrations in economics and international development from Princeton University, and a B.S. in international area studies from Drexel University. His areas of expertise include macroeconomics, industrial organization, economic development, technological change, and growth. In addition to Philadelphia, he has lived and worked in Japan, Indonesia, Portugal, and China.
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Adopting instructors will receive a solution manual.
"Mathematical Models in Economics is an outstanding new resource for teaching and learning quantitative methods. The choice of topics is spot on for a supplement to calculus-based theory courses or as a foundation for a standalone course in mathematical economics. The author’s writing and presentation style make the material approachable and unintimidating, including a wealth of solved examples. A great new resource for those who teach in programs where solid grounding in fundamentals of mathematical economics is vital to student success."
Peter von Allmen, Chair and Professor, Economics Department, Skidmore College
"Mathematical Models in Economics is an outstanding textbook for rigorous undergraduate teaching. An essential read for students working on a challenging curriculum and making the transition from principles to math-based intermediate and advanced courses."
María Pía Olivero, Associate Professor, Department of Economics, Swarthmore College
"Mathematical Models in Economics takes a complex topic and makes it accessible and enjoyable. You can tell that the author has spent many years teaching this material and finding ways to connect with students. The book is great for anyone who wants to look behind the curtain of economics to understand the mathematical models that underly its theories."
James DeNicco, Ph.D., Senior Lecturer and Director of the Principles of Economics Program, Rice University
"I’ve been teaching undergraduate economics for 20 years and Prof. Laincz’s book provides the exact math bridge students need for advanced undergraduate economics courses. The intuitive style allows students to connect the math they know with the economics they are learning and, perhaps most importantly, understand what it means to be building mathematical models of economic phenomena. It’s a perfect recommendation for students taking Intermediate Micro and Macro and for advanced courses building on those."
Christopher Ball, Ph.D., Istvan Szechenyi Chair in International Economics, Department of Economics, Quinnipiac University
Peter von Allmen, Chair and Professor, Economics Department, Skidmore College
"Mathematical Models in Economics is an outstanding textbook for rigorous undergraduate teaching. An essential read for students working on a challenging curriculum and making the transition from principles to math-based intermediate and advanced courses."
María Pía Olivero, Associate Professor, Department of Economics, Swarthmore College
"Mathematical Models in Economics takes a complex topic and makes it accessible and enjoyable. You can tell that the author has spent many years teaching this material and finding ways to connect with students. The book is great for anyone who wants to look behind the curtain of economics to understand the mathematical models that underly its theories."
James DeNicco, Ph.D., Senior Lecturer and Director of the Principles of Economics Program, Rice University
"I’ve been teaching undergraduate economics for 20 years and Prof. Laincz’s book provides the exact math bridge students need for advanced undergraduate economics courses. The intuitive style allows students to connect the math they know with the economics they are learning and, perhaps most importantly, understand what it means to be building mathematical models of economic phenomena. It’s a perfect recommendation for students taking Intermediate Micro and Macro and for advanced courses building on those."
Christopher Ball, Ph.D., Istvan Szechenyi Chair in International Economics, Department of Economics, Quinnipiac University
