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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.
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 economic influence of central banks has received ever more attention given their centrality during the financial crises that led to the Great Recession, strains in the European Union, and the challenges to the Euro. The Oxford Handbook of the Economics of Central Banking reflects the state of the art in the theory and practice and covers a wide range of topics that will provide insight to students, scholars, and practitioners. As an up to date reference of the current and potential challenges faced by central banks in the conduct of monetary policy and in the search for the maintenance of financial system stability, this Oxford Handbook covers a wide range of essential issues. The first section provides insights into central bank governance, the differing degrees of central bank independence, and the internal dynamics of their decision making. The next section focuses on questions of whether central banks can ameliorate fiscal burdens, various strategies to affect monetary policy, and how the global financial crisis affected the relationship between the traditional focus on inflation targeting and unconventional policy instruments such as quantitative easing (QE), foreign exchange market interventions, negative interest rates, and forward guidance. The next two sections turn to central bank communications and management of expectations and then mechanisms of policy transmission. The fifth part explores the challenges of recent developments in the economy and debates about the roles central banks should play, focusing on micro- and macro-prudential arguments. The implications of recent developments for policy modeling are covered in the last section. The breadth and depth enhances understanding of the challenges and opportunities facing central banks.
In this paper I study the effect of imperfect central bank commitment on inflationary outcomes. I present a model in which the monetary authority is a committee that consists of members who serve overlapping, finite terms. Older and younger generations of Monetary Policy Committee (MPC) members decide on policy by engaging in a bargaining process. I show that this setup gives rise to a continuous measure of the degree of monetary authority's commitment. The model suggests that the lower the churning rate or the longer the tenure time, the closer social welfare will be to that under optimal commitment policy.
Over the past fifteen years, a significant number of industrialized and middle-income countries have adopted inflation targeting as a framework for monetary policymaking. As the name suggests, in such inflation-targeting regimes, the central bank is responsible for achieving a publicly announced target for the inflation rate. While the objective of controlling inflation enjoys wide support among both academic experts and policymakers, and while the countries that have followed this model have generally experienced good macroeconomic outcomes, many important questions about inflation targeting remain. In Inflation Targeting, a distinguished group of contributors explores the many underexamined dimensions of inflation targeting—its potential, its successes, and its limitations—from both a theoretical and an empirical standpoint, and for both developed and emerging economies. The volume opens with a discussion of the optimal formulation of inflation-targeting policy and continues with a debate about the desirability of such a model for the United States. The concluding chapters discuss the special problems of inflation targeting in emerging markets, including the Czech Republic, Poland, and Hungary.
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.
Using stochastic simulations and stability analysis, the paper compares how different monetary rules perform in a moderately nonlinear model with a time-varying nonaccelerating-inflation-rate-of-unemployment (NAIRU). Rules that perform well in linear models but implicitly embody backward-looking measures of real interest rates (such as conventional Taylor rules) or substantial interest rate smoothing perform very poorly in models with moderate nonlinearities, particularly when policymakers tend to make serially correlated errors in estimating the NAIRU. This challenges the practice of evaluating rules within linear models, in which the consequences of responding myopically to significant overheating are extremely unrealistic.
The new edition of a comprehensive treatment of monetary economics, including the first extensive coverage of the effective lower bound on nominal interest rates. This textbook presents a comprehensive treatment of the most important topics in monetary economics, focusing on the primary models monetary economists have employed to address topics in theory and policy. Striking a balance of insight, accessibility, and rigor, the book covers the basic theoretical approaches, shows how to do simulation work with the models, and discusses the full range of frictions that economists have studied to understand the impacts of monetary policy. For the fourth edition, every chapter has been revised to improve the exposition and to reflect recent research. The new edition offers an entirely new chapter on the effective lower bound on nominal interest rates, forward guidance policies, and quantitative and credit easing policies. Material on the basic new Keynesian model has been reorganized into a single chapter to provide a comprehensive analysis of the model and its policy implications. In addition, the chapter on the open economy now reflects the dominance of the new Keynesian approach. Other new material includes discussions of price adjustment, labor market frictions and unemployment, and moral hazard frictions among financial intermediaries. References and end-of-chapter problems allow readers to extend their knowledge of the topics covered. Monetary Theory and Policy continues to be the most comprehensive and up-to-date treatment of monetary economics, not only the leading text in the field but also the standard reference for academics and central bank researchers.
The 20th NBER Macroeconomics Annual, covering questions at the cutting edge of macroeconomics that are central to current policy debates.
State-space models as an important mathematical tool has been widely used in many different fields. This edited collection explores recent theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly-spaced (discrete or continuous) observations. The contributed chapters are divided into four parts. The first part is on Particle Filtering and Parameter Learning in Nonlinear State-Space Models. The second part focuses on the application of Linear State-Space Models in Macroeconomics and Finance. The third part deals with Hidden Markov Models, Regime Switching and Mathematical Finance and the fourth part is on Nonlinear State-Space Models for High Frequency Financial Data. The book will appeal to graduate students and researchers studying state-space modeling in economics, statistics, and mathematics, as well as to finance professionals.