This paper reviews the recent literature on monetary policy rules. To organize the discussion, we exposit the monetary policy design problem within a simple baseline theoretical framework. We then consider the implications of adding various real word complications. We concentrate on developing results that are robust across a reasonable variety of competing macroeconomic frameworks. Among other things, we show that the optimal policy implicitly incorporates inflation targeting. We also characterize the gains from making credible commitments to fight inflation and consider the implications of frictions such as imperfect information and model uncertainty. Finally, we assess how proposed simple rules, such as the Taylor rule, square with the principles for optimal policy that we describe. We use this same metric to evaluate the recent course of U.S. monetary policy.

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The Science of Monetary Policy: A New Keynesian Perspective

We present a model embodying moderate amounts of nominal rigidities that accounts for the observed inertia in inflation and persistence in output. The key features of our model are those that prevent a sharp rise in marginal costs after an expansionary shock to monetary policy. Of these features, the most important are staggered wage contracts that have an average duration of three quarters and variable capital utilization.

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Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy

The paper reviews the recent literature on monetary policy rules. We exposit the monetary policy design problem within a simple baseline theoretical framework. We then consider the implications of adding various real world complications. Among other things, we show that the optimal policy implicitly incorporates inflation targeting. We also characterize the gains from making a credible commitment to fight inflation. In contrast to conventional wisdom, we show that gains from commitment may emerge even if the central bank is not trying to inadvisedly push output above its natural level. We also consider the implications of frictions such as imperfect information.

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Using a Bayesian likelihood approach, we estimate a dynamic stochastic general equilibrium model for the US economy using seven macro-economic time series. The model incorporates many types of real and nominal frictions and seven types of structural shocks. We show that this model is able to compete with Bayesian Vector Autoregression models in out-of-sample prediction. We investigate the relative empirical importance of the various frictions. Finally, using the estimated model we address a number of key issues in business cycle analysis: What are the sources of business cycle fluctuations? Can the model explain the cross-correlation between output and inflation? What are the effects of productivity on hours worked? What are the sources of the "Great Moderation"?

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Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach

We estimate a dynamic stochastic general equilibrium (DSGE) model for the US economy. The model incorporates many types of real and nominal frictions: sticky nominal price and wage setting, habit formation in consumption, investment adjustment costs, variable capital utilisation and fixed costs in production. It also contains many types of shocks including productivity, labour supply, investment, preference, cost-push and monetary policy shocks. Using Bayesian estimation techniques, the relative importance of the various frictions and shocks in explaining the US business cycle are empirically investigated. We also show that this model is able to outperform standard VAR and BVAR models in out-of-sample prediction.

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Shocks and frictions in US business cycles: A Bayesian DSGE approach

This paper extends a conventional cash-in-advance model to incorporate a real balance effect of the kind described by de Scitovszky, Haberler, Pigou, and Patinkin. When operative, this real balance effect eliminates the liquidity trap, allowing the central bank to control the price level even when the nominal interest rate hits its lower bound of zero. Curiously, the same mechanism that gives rise to the real balance effect also implies that monetary policies have distributional consequences that make some agents much worse off under a zero nominal interest rate than they are when the nominal interest rate is positive.

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The Real Balance Effect

Previous studies of disinflation work with models in which firms use time-dependent strategies, changing nominal prices at intervals of fixed length. These models may be criticized for failing to allow pricing behavior to adjust after a large shift in policy regime. Consequently, this paper develops a model that allows firms to adopt strategies that are partially state-dependent, changing nominal prices whenever they deviate sufficiently from their target values. The paper uses this model to examine how the welfare costs and benefits of disinflation vary with the initial inflation rate and the speed of disinflation.

Stopping inflations, big and small

This paper studies the behavior of the economy and the efficacy of monetary policy under zero nominal interest rates, using a model with population growth that nests, as a special case, a more conventional specification in which there is a single infinitely lived representative agent. The paper shows that with a growing population, monetary policy has distributional effects that give rise to a real balance effect, thereby eliminating the liquidity trap. These same distributional effects, however, can also work to make many agents much worse off under zero nominal interest rates than they are when the nominal interest rate is positive.

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The Liquidity Trap, the Real Balance Effect, and the Friedman Rule

Over the last twenty-five years, a set of influential studies has placed interest rates at the heart of analyses that interpret and evaluate monetary policies. In light of this work, the Federal Reserve's recent policy of "quantitative easing," with its goal of affecting the supply of liquid assets, appears to be a radical break from standard practice. Alternatively, one could posit that the monetary aggregates, when measured properly, never lost their ability to explain aggregate fluctuations and, for this reason, represent an important omission from standard models and policy discussions. In this context, the new policy initiatives can be characterized simply as conventional attempts to increase money growth. This view is supported by evidence that superlative (Divisia) measures of money often help in forecasting movements in key macroeconomic variables. Moreover, the statistical fit of a structural vector autoregression deteriorates significantly if such measures of money are excluded when identifying monetary policy shocks. These results cast doubt on the adequacy of conventional models that focus on interest rates alone. They also highlight that all monetary disturbances have an important "quantitative" component, which is captured by movements in a properly measured monetary aggregate.

Interest Rates and Money in the Measurement of Monetary Policy

Recently there has been growing interest in using general equilibrium models to understand the effects of monetary policy on interest rates and real economic activity. This research effort has involved the search for models that generate liquidity effects. One branch of this research employs cash-in-advance constraints and various assumptions about financial structures that place infinite transaction costs on flow of funds across segmented markets. In this paper, the authors relax the assumption of infinite transactions costs and find that liquidity effects either disappear or are greatly dampened when transaction technologies are more appropriately specified. Copyright 1995 by Ohio State University Press.

Peter N. Ireland

Papers

The Real Balance Effect

Stopping inflations, big and small

The Liquidity Trap, the Real Balance Effect, and the Friedman Rule

Interest Rates and Money in the Measurement of Monetary Policy

Liquidity Effects and Transactions Technologies