Using Microsoft Excel, the market leading spreadsheet package, this book combines theory with modelling aspects and spreadsheet analysis. Microeconomics Using Excel provides students with the tools with which to better understand microeconomic analysis.It focuses on solving microeconomic problems by integrating economic theory, policy analysis and

This unique text uses Microsoft Excel® workbooks to instruct students. In addition to explaining fundamental concepts in microeconomic theory, readers acquire a great deal of sophisticated Excel skills and gain the practical mathematics needed to succeed in advanced courses. In addition to the innovative pedagogical approach, the book features explicitly repeated use of a single central methodology, the economic approach. Students learn how economists think and how to think like an economist. With concrete, numerical examples and novel, engaging applications, interest for readers remains high as live graphs and data respond to manipulation by the user. Finally, clear writing and active learning are features sure to appeal to modern practitioners and their students. The website accompanying the text is found at www.depauw.edu/learn/microexcel.

Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization shows readers how to apply static and dynamic optimization theory in an easy and practical manner, without requiring the mastery of specific programming languages that are often difficult and expensive to learn. Featuring user-friendly numerical discrete calculations developed within the Excel worksheets, the book includes key examples and economic applications solved step-by-step and then replicated in Excel. After introducing the fundamental tools of mathematical economics, the book explores the classical static optimization theory of linear and nonlinear programming, applying the core concepts of microeconomics and some portfolio theory. This provides a background for the more challenging worksheet applications of the dynamic optimization theory. The book also covers special complementary topics such as inventory modelling, data analysis for business and economics, and the essential elements of Monte Carlo analysis. Practical and accessible, Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization increases the computing power of economists worldwide. This book is accompanied by a companion website that includes Excel examples presented in the book, exercises, and other supplementary materials that will further assist in understanding this useful framework. Explains how Excel provides a practical numerical approach to optimization theory and analytics Increases access to the economic applications of this universally-available, relatively simple software program Encourages readers to go to the core of theoretical continuous calculations and learn more about optimization processes

For courses in Principles of Microeconomics and Intermediate Microeconomics. This text introduces students to the fundamental tools and techniques available in Microsoft Excel(tm) spreadsheet software. It presents applications that pertain to specific microeconomic topics enabling students to enhance their microeconomic analysis skills, while becoming proficient at Excel software. Students will learn through experience by following directions and creating example worksheets within each chapter. This book contains over 60 assignments pertaining to topics such as supply and demand, elasticity, market efficiency, public policy, and international trade.

Humberto Barreto shows professors how to teach macroeconomic models and incorporate data using Microsoft Excel® with free files and videos.

This is a microeconomic theory book designed for upper-division undergraduate students in economics and agricultural economics. Basic introductory college courses in microeconomics and differential calculus are the assumed prerequisites. The last, tenth, chapter of the book reviews some mathematical principles basic to the other chapters. All of the chapters contain many numerical examples and graphs developed from the numerical examples. The ambitious student could recreate any of the charts and tables contained in the book using a computer and Excel spreadsheets. There are many numerical examples of the key elements of marginal analysis. In addition, many practical examples are taken from the real world to illustrate key points. Most of the examples used in the book come from the food and agricultural industries, broadly defined. Examples in consumer choice and utility focus on consumer decisions to purchase hamburgers and French fries. Production examples involve choices farmers make in order to apply fertilizer to crops. Market models are employed that illustrate consumer choice between beef, pork and chicken at the grocery meat counter, and so on. A few of the examples do not employ agriculturally related goods, such as the examples dealing with the fate of the Polaroid corporation and its instant cameras, monopoly power of cable television providers and competition between the big three automakers in the 1950s. Each chapter begins with material that will be familiar to nearly any student who has passed an introductory microeconomics course. However, as each chapter progresses, the problems and the math required to complete them get tougher. Critical points throughout the text are highlighted in text boxes. The instructor need not use all of the sections of each chapter for a course as each section of each chapter is self-contained. Each chapter concludes with a basic summary of key points and a comprehensive list of terms and definitions. Students might choose to begin by reading the key summary points and definitions at the end of each chapter. Each chapter also contains a spreadsheet exercise for students to create examples similar to the tables and charts in the text.The book is designed for use in a one-semester course, covering the parts of microeconomics that nearly every instructor believes should be covered at the intermediate level, but also recognizing that most instructors will want to devote a few weeks of the semester to material specific to their own interests.David L. Debertin