Optimal Monetary Policy With Uncertainty About Financial Frictions

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 recent global financial crisis illustrates that financial frictions are a significant source of volatility in the economy. This paper investigates monetary policy stabilization in an environment where financial frictions are a relevant source of macroeconomic fluctuation. We derive a measure of output gap that accounts for frictions in financial market. Furthermore we illustrate that, in the presence of financial frictions, a benevolent central bank faces a substantial trade-off between nominal and real stabilization; optimal monetary policy significantly reduces fluctuations in price and wage inflations but fails to alleviate the output gap volatility. This suggests a role for macroprudential policies.

Are uncertainty shocks a major source of business cycle fluctuations? This paper studies the effect of a mean preserving shock to the variance of aggregate total factor productivity (macro uncertainty) and to the dispersion of entrepreneurs' idiosyncratic productivity (micro uncertainty) in a financial accelerator DSGE model with sticky prices. It explores the different mechanisms through which uncertainty shocks are propagated and amplified. The time series properties of macro and micro uncertainty are estimated using U.S. aggregate and firm-level data, respectively. While surprise increases in micro uncertainty have a larger impact on output than macro uncertainty, these account for a small (non-trivial) share of output volatility.

Casting a wide net in this, their second edition, Froyen and Guender provide coverage of the model-based literature on optimal monetary policy in the presence of uncertainty, with both open- and closed-economy frameworks considered. The authors have grounded New Keynesian research of the 1990s and 2000s in the literature of the 1970s, which viewed optimal policy as primarily a question of the optimal use of information, and studies in the 1980s that gave primacy to time inconsistency problems. The Global Financial Crisis of 2007-09 led to the recognition that financial markets and institutions required greater attention in policy modelling. Herein, the authors provide a thorough survey of the post-crisis literature that resulted from this recognition.Researchers in academia and at central banks, students and policy makers will value the wide scope of coverage provided in this examination, leading them to a better understanding of issues such as discretion versus commitment, target versus instrument rules, policy in closed versus open economies and the proper mandate for central banks, including the relationship between interest rate policy and macro-prudential instruments.

Recent studies show that uncertainty shocks have quantitatively important effects on the real economy. This paper examines one particular channel at work: the supply of credit. It presents a model in which a bank, even if managed by risk-neutral shareholders and subject to limited liability, can exhibit self-insurance, and thus loan supply contracts when uncertainty increases. This prediction is tested with the universe of U.S. commercial banks over the period 1984-2010. Identification of credit supply is achieved by looking at the differential response of banks according to their level of capitalization. Consistent with the theoretical predictions, increases in uncertainty reduce the supply of credit, more so for banks with lower levels of capitalization. These results are weaker for large banks, and are robust to controlling for the lending and capital channels of monetary policy, to different measures of uncertainty, and to breaking the dataset in subsamples. Quantitatively, uncertainty shocks are almost as important as monetary policy ones with regards to the effects on the supply of credit.

A leading academic authority and policymaker discusses monetary policy strategy from the perspectives of both scholar and practitioner, offering theory, econometric evidence, and extensive case studies. This book by a leading authority on monetary policy offers a unique view of the subject from the perspectives of both scholar and practitioner. Frederic Mishkin is not only an academic expert in the field but also a high-level policymaker. He is especially well positioned to discuss the changes in the conduct of monetary policy in recent years, in particular the turn to inflation targeting. Monetary Policy Strategy describes his work over the last ten years, offering published papers, new introductory material, and a summing up, “Everything You Wanted to Know about Monetary Policy Strategy, But Were Afraid to Ask,” which reflects on what we have learned about monetary policy over the last thirty years. Mishkin blends theory, econometric evidence, and extensive case studies of monetary policy in advanced and emerging market and transition economies. Throughout, his focus is on these key areas: the importance of price stability and a nominal anchor; fiscal and financial preconditions for achieving price stability; central bank independence as an additional precondition; central bank accountability; the rationale for inflation targeting; the optimal inflation target; central bank transparency and communication; and the role of asset prices in monetary policy.

Yes, it makes a lot of sense. This paper studies how to design simple loss functions for central banks, as parsimonious approximations to social welfare. We show, both analytically and quantitatively, that simple loss functions should feature a high weight on measures of economic activity, sometimes even larger than the weight on inflation. Two main factors drive our result. First, stabilizing economic activity also stabilizes other welfare relevant variables. Second, the estimated model features mitigated inflation distortions due to a low elasticity of substitution between monopolistic goods and a low interest rate sensitivity of demand. The result holds up in the presence of measurement errors, with large shocks that generate a trade-off between stabilizing inflation and resource utilization, and also when ensuring a low probability of hitting the zero lower bound on interest rates.