Rational Expectations

This book develops the idea of rational expectations and surveys its use in economics today.

A fully expanded edition of the Nobel Prize–winning economist's classic book This collection of essays uses the lens of rational expectations theory to examine how governments anticipate and plan for inflation, and provides insight into the pioneering research for which Thomas Sargent was awarded the 2011 Nobel Prize in economics. Rational expectations theory is based on the simple premise that people will use all the information available to them in making economic decisions, yet applying the theory to macroeconomics and econometrics is technically demanding. Here, Sargent engages with practical problems in economics in a less formal, noneconometric way, demonstrating how rational expectations can satisfactorily interpret a range of historical and contemporary events. He focuses on periods of actual or threatened depreciation in the value of a nation's currency. Drawing on historical attempts to counter inflation, from the French Revolution and the aftermath of World War I to the economic policies of Margaret Thatcher and Ronald Reagan, Sargent finds that there is no purely monetary cure for inflation; rather, monetary and fiscal policies must be coordinated. This fully expanded edition of Rational Expectations and Inflation includes Sargent's 2011 Nobel lecture, "United States Then, Europe Now." It also features new articles on the macroeconomics of the French Revolution and government budget deficits.

Rational Expectations is a clean sheet of paper in the wonky world of quantitatively based asset allocation aimed at small investors. Continuing the theme of the Investing for Adults series, this full-length finance title is not for beginners, but rather assumes a fair degree of quantitative ability and finance knowledge. If you think you can time the market or pick stocks and mutual fund managers, or even if you think that you can formulate an optimally efficient mean-variance asset allocation with a black box, then learn some basic finance and come back in a few years. On the other hand, if you know your way around risk premiums and standard deviations and know who Irving Fisher and Benjamin Graham were, and if you want to sharpen your asset class skills, you've come to the right place.

The papers in this volume provide a complex view of market processes.

"Several areas in economics today have unprecedented significance and vitality. Most people would agree that stabilization policy ranks with the highest of these. Continuing inflation and periodic serious acceleration of inflation combined with high and secularly rising unemployment combine to give the area high priority. This book brings us up to date on an extremely lively discussion involving the role of expectations, and more particularly rational expectations, in the conduct of stabilization policy. . . . Anyone interested in the role of government in economics should read this important book."—C. Glyn Williams, The Wall Street Review of Books "This is a most timely and valuable contribution. . . . The contributors and commentators are highly distinguished and the editor has usefully collated comments and the ensuing discussion. Unusually for a conference proceedings the book is well indexed and it is also replete with numerous and up-to-date references. . . . This is the first serious book to examine the rational expectations thesis in any depth, and it will prove invaluable to anyone involved with macroeconomic policy generally and with monetary economics in particular."—G. K. Shaw, The Economic Journal

A Rational Expectations Approach to Macroeconometrics pursues a rational expectations approach to the estimation of a class of models widely discussed in the macroeconomics and finance literature: those which emphasize the effects from unanticipated, rather than anticipated, movements in variables. In this volume, Fredrick S. Mishkin first theoretically develops and discusses a unified econometric treatment of these models and then shows how to estimate them with an annotated computer program.