Optimal Monetary Policy Under Uncertainty Second Edition

Froyen and Guender have provided a thorough and careful analysis of optimal monetary policy over most of the range of theoretical models that have been used in modern macroeconomics. By providing a comprehensive and clear comparative framework they will help the student of monetary policy understand why there have been conflicting views of what policy makers should do. Central Banking In Optimal Monetary Policy Under Uncertainty, academicians and economists Richard T. Froyen and Alfred V. Guender have collaborated on presenting an informed and informative survey of optimal monetary policy literature arising during the 1970s and 1980s as a ground work for understanding current market and other economic influences on such germane issues as discretion versus commitment, target versus instrument rules, and the delegation of policy making authority within the private and public sectors. With meticulous attention to scholarship and objectivity. . . Optimal Monetary Policy Under Uncertainty is a thoughtful and thought-provoking body of work that is very strongly recommended for professional, academic, corporate and governmental economic reference collections and supplemental reading lists. Midwest Book Review Recently there has been a resurgence of interest in the study of optimal monetary policy under uncertainty. This book provides a thorough survey of the literature that has resulted from this renewed interest. The authors ground recent contributions on the science of monetary policy in the literature of the 1970s, which viewed optimal monetary policy as primarily a question of the best use of information, and studies in the 1980s that gave primacy to time inconsistency problems. This broad focus leads to a better understanding of current issues such as discretion versus commitment, target versus instrument rules, and the merits of delegation of policy authority. Casting a wide net, the authors survey the recent literature on the New Keynesian approach to optimal monetary policy in the context of the earlier literature. They emphasize the relationship between policy decisions and the information set available to the policymaker, a central focus of the earlier literature, obscured in much recent work. Optimal policy questions are considered in open as well as closed economy models and the often confusing terminology in the literature is sorted and clarified. Questions are considered within easily analysed models and the authors clearly show why these models lead to different (or equivalent) policy conclusions. Recent policy issues such as desirability of inflation targeting and the relative merits of target versus instrument rules are covered in detail. Economists in academia and in policymaking organizations who want to learn about recent developments in the area of optimal monetary policy, as well as graduate and advanced undergraduate students in macroeconomic and monetary economics, will find this volume a clear and thorough examination of the topic.

This book provides a thorough survey of the model-based literature on optimal monetary in a stochastic setting. The survey begins with the literature of the 1970s which focused on the information problem in policy design and extends to the New Keynesian approach of the 1990s which centered on evaluating alternative targeting strategies. New to the second edition is consideration of research since the world financial crisis on the role of financial markets and institutions in the conduct of monetary policy.

The paper offers a non-probabilistic framework for representation of uncertainty in the context of a simple linear-quadratic model of fiscal adjustment. Instead of treating model disturbances as random variables with known probability distributions, it is only assumed that they belong to some pre-specified compact set. Such an approach is appropriate when the decision maker does not have enough information to form probabilistic beliefs or when considerations for robustness are important. Solution of the model in the minimax sense when disturbance sets are ellipsoids is obtained and the application of the method is illustrated using the example of Portugal.

Oliver Sauter analyzes three aspects of monetary policy under uncertainty. First he shows that the terms risk and uncertainty are often wrongly used as synonyms despite their different meanings. The second aspect is the proper examination and incorporation of uncertainty into a monetary policy framework. The author undertakes systematization with a closer look at each identified form of uncertainty. Thirdly, he focuses on the quantification of uncertainty from two different perspectives, either from a market perspective or from a central bank perspective.

The form of bounded rationality characterizing the representative agent is key in the choice of the optimal monetary policy regime. While inflation targeting prevails for myopia that distorts agents' inflation expectations, price level targeting emerges as the optimal policy under myopia regarding the output gap, revenue, or interest rate. To the extent that bygones are not bygones under price level targeting, rational inflation expectations is a minimal condition for optimality in a behavioral world. Instrument rules implementation of this optimal policy is shown to be infeasible, questioning the ability of simple rules à la Taylor (1993) to assist the conduct of monetary policy. Bounded rationality is not necessarily associated with welfare losses.

We provide a framework for analyzing the choice between optimal and robust monetary policy rules in the presence of paradigm uncertainty. We first discuss the conditions on uncertainty that render a robust rule preferable to an optimal rule. Second, we show how the degree of risk aversion of the policymaker increases the region in which the robust rule is preferred.