Thanasis Stengos

Michael Hoy

Ray Rees

John Livernois

Chris Mckenna

An updated edition of a widely used textbook, offering a clear and comprehensive presentation of mathematics for undergraduate economics students. This text offers a clear and comprehensive presentation of the mathematics required to tackle problems in economic analyses, providing not only straightforward exposition of mathematical methods for economics students at the intermediate and advanced undergraduate levels but also a large collection of problem sets. This updated and expanded fourth edition contains numerous worked examples drawn from a range of important areas, including economic theory, environmental economics, financial economics, public economics, industrial organization, and the history of economic thought. These help students develop modeling skills by showing how the same basic mathematical methods can be applied to a variety of interesting and important issues. The five parts of the text cover fundamentals, calculus, linear algebra, optimization, and dynamics. The only prerequisite is high school algebra; the book presents all the mathematics needed for undergraduate economics. New to this edition are “Reader Assignments,” short questions designed to test students’ understanding before they move on to the next concept. The book’s website offers additional material, including more worked examples (as well as examples from the previous edition). Separate solutions manuals for students and instructors are also available.

Mathematics for Economics, fourth edition

This student solutions manual contains solutions to odd-numbered exercises in the fourth edition of Mathematics for Economics.

Student Solutions Manual for Mathematics for Economics, fourth edition

The present Special Issue collects a number of new contributions both at the theoretical level and in terms of applications in the areas of nonparametric and semiparametric econometric methods. In particular, this collection of papers that cover areas such as developments in local smoothing techniques, splines, series estimators, and wavelets will add to the existing rich literature on these subjects and enhance our ability to use data to test economic hypotheses in a variety of fields, such as financial economics, microeconomics, macroeconomics, labor economics, and economic growth, to name a few.

Nonparametric Econometric Methods and Application

Andreas Savvides

This book provides an in-depth investigation of the link between human capital and economic growth. The authors take an innovative approach, examining the determinants of economic growth through a historical overview of the concept of human capital. The text fosters a deep understanding of the connection between human capital and economic growth through the exploration of different theoretical approaches, a review of the literature, and the application of nonlinear estimation techniques to a comprehensive data set. The authors discuss nonparametric econometric techniques and their application to estimating nonlinearities—which has emerged as one of the most salient features of empirical work in modeling the human capital-growth relationship, and the process of economic growth in general. By delving into the topic from theoretical and empirical standpoints, this book offers an insightful new view that will be extremely useful for scholars, students, and policy makers.

Thanasis Stengos

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