Macroeconomics tries to describe and explain the economywide movement of prices, output, and unemployment. The field has been sharply divided among various schools, including Keynesian, monetarist, new classical, and others. It has also been split between theorists and empiricists. Ray Fair is a resolute empiricist, developing and refining methods for testing theories and models. The field cannot advance without the discipline of testing how well the models approximate the data. Using a multicountry econometric model, he examines several important questions, including what causes inflation, how monetary authorities behave and what are their stabilization limits, how large is the wealth effect on aggregate consumption, whether European monetary policy has been too restrictive, and how large are the stabilization costs to Europe of adopting the euro. He finds, among other things, little evidence for the rational expectations hypothesis and for the so-called non-accelerating inflation rate of unemployment (NAIRU) hypothesis. He also shows that the U.S. economy in the last half of the 1990s was not a "new age" economy.

This book gives a practical, applications-oriented account of the latest techniques for estimating and analyzing large, nonlinear macroeconomic models. Ray Fair demonstrates the application of these techniques in a detailed presentation of several actual models, including his United States model, his multicountry model, Sargent's classical macroeconomic model, autoregressive and vector autoregressive models, and a small (twelve equation) linear structural model. He devotes a good deal of attention to the difficult and often neglected problem of moving from theoretical to econometric models. In addition, he provides an extensive discussion of optimal control techniques and methods for estimating and analyzing rational expectations models. A computer program that handles all the techniques in the book is available from the author, making it possible to use the techniques with little additional programming. The book presents the logic of this program. A smaller program for personal microcomputers for analysis of Fair's United States model is available from Urban Systems Research & Engineering, Inc. Anyone wanting to learn how to use large macroeconomic models, including researchers, graduate students, economic forecasters, and people in business and government both in the United States and abroad, will find this an essential guidebook.

Reviewers tell us that Case/Fair is one of the all-time bestselling principles of economics texts because they trust it to be clear, thorough and complete. This well-respected author team is joined for the 9th edition by a new co-author, Sharon Oster. Sharon's research and teaching experience brings new coverage of modern topics and an applied approach to economic theory, as demonstrated in the new "Economics in Practice" feature.
Introduction to Economics; Concepts and Problems in Macroeconomics; The Core of Macroeconomic Theory; Further Macroeconomic Issues; The World Economy
For those looking for a trusted and authoritative principles of macroeconomics text that focuses on international econmies as well as the Keynesian Cross. Case/Fair/Oster believe strongly, that a text should use the Keynesian Cross carefully and systematically, to build up to the AD/AS model. One of the great benefits of this approach, is that students of economics won't mistakenly apply what they learned about simple demand and supply to aggregate demand & supply. (A detailed summary of this approach can be found in the preface).

"Case and Fair is the trusted Microeconomics text that teaches students through stories, graphs, and equations...and now, a new emphasis on excellence in assessment." These two highly-respected economists and educators have revised this best-selling Microeconomics book to include more current topics and events while maintaining its hallmark feature of teaching economics through stories, graphs, and equations; relevant to students with various learning styles (verbal, visual, and numerical).