Athanasios Orphanides

Monetary Policy Rules Based on Real-Time Data

In recent years, simple policy rules have received attention as a means to a more transparent and effective monetary policy. Often, however, the analysis is based on unrealistic assumptions about the timeliness of data availability. This permits rule specifications that are not operational and ignore difficulties associated with data revisions. This paper examines the magnitude of these informational problems using Taylors rule as an example. I demonstrate that the real-time policy recommendations differ considerably from those obtained with the ex post revised data and are revised substantially even a year after the relevant quarter. Further, I show that estimated policy reaction functions obtained using the ex post revised data can yield misleading descriptions of historical policy. Using Federal Reserve staff forecasts I show that in the 1987-1992 period simple forward-looking specifications describe policy better than comparable Taylor-type specifications, a fact that is largely obscured when the analysis is based on the ex post revised data.

The Unreliability of Output Gap Estimates in Real Time

Compared to its central role in policy discussions in the United States and most other developed countries, the reliability of the measurement of the output gap has attracted relatively little academic study. Furthermore, both the academic literature and the debate among practitioners have tended to neglect a key factor. Although in a policy setting, it is necessary to estimate the current (i.e. end-of-sample) output gap without the benefit of knowing the future, most studies concentrate on measurement that employs data that only become available later. In this paper we examine the reliability of alternative output detrending methods, with special attention to the accuracy of real-time estimates. We show that ex post revisions of the output gap are of the same order of magnitude as the output gap itself, that these ex post revisions are highly persistent and that real-time estimates tend to be severely biased around business cycle turning points, when the cost of policy induced errors due to incorrect measurement is at its greatest. We investigate the reasons for these ex post revisions, and find that, although important, the ex post revision of published data is not the primary source of revisions in output gap measurements. The bulk of the problem is due to the pervasive unreliability of end-of-sample estimates of the trend in output.

The Quest for Prosperity without Inflation

In recent years, activist monetary policy rules responding to inflation and the level of economic activity have been advanced as a means of achieving effective output stabilization without inflation. Advocates of such policies suggest that their flexibility may yield substantial stabilization benefits while avoiding the excesses of overzealous discretionary fine-tuning such as is thought to characterize the experience of the 1960s and 1970s. In this paper, I demonstrate that these conclusions are misguided. To illustrate this fact, I construct a database with data available to policymakers in real time from 1965 to 1993 and, using an estimated model, I perform counterfactual simulations under alternative informational assumptions regarding the knowledge policymakers can reasonably have had about the state of the economy when policy decisions were made. Using realistic informational assumptions overturns findings favoring activist policies in favor of prudent policies that ignore short-run stabilization concerns altogether. The evidence points to misperceptions of the economys productive capacity as the primary underlying cause of the 1970s inflation and suggests that apparent differences in the framework governing monetary policy decisions during the 1970s compared to the more recent past have been greatly exaggerated.

Monetary policy evaluation with noisy information

This paper investigates the implications of noisy information regarding the measurement of economic activity for the evaluation of monetary policy. A common implicit assumption in such evaluations is that policymakers observe the current state of the economy promptly and accurately and can therefore adjust policy based on this information. However, in reality, decisions are made in real time when there is considerable uncertainty about the true state of affairs in the economy. Policy must be made with partial information. Using a simple model of the U.S. economy, I show that failing to account for the actual level of information noise in the historical data provides a seriously distorted picture of feasible macroeconomic outcomes and produces inefficient policy rules. Naive adoption of policies identified as efficient when such information noise is ignored results in macroeconomic performance worse than actual experience. When the noise content of the data is properly taken into account, policy reactions are cautious and less sensitive to the apparent imbalances in the unfiltered data. The resulting policy prescriptions reflect the recognition that excessively activist policy can increase rather than decrease economic instability.

Monetary Policy Rules, Macroeconomic Stability, and Inflation: A View from the Trenches

I estimate a forward-looking monetary policy reaction function for the Federal Reserve for the periods before and after Paul Volckers appointment as Chairman in 1979, using information that was available to the FOMC in real time from 1966 to 1995. The results suggest broad similarities in policy and point to a forward-looking approach to policy consistent with a strong reaction to inflation forecasts during both periods. This contradicts the hypothesis, based on analysis with ex post constructed data, that the instability of the Great Inflation was the result of weak FOMC policy responses to expected inflation. A difference is that prior to Volckers appointment, policy was too activist in reacting to perceived output gaps that retrospectively proved overambitious. Drawing on contemporaneous accounts of FOMC policy, I discuss the implications of the findings for alternative explanations of the Great Inflation and the improvement in macroeconomic stability since then.

Robust Monetary Policy Rules with Unknown Natural Rates

We examine the performance and robustness properties of alternative monetary policy rules in the presence of structural change that renders the natural rates of interest and unemployment uncertain. Using a forward-looking quarterly model of the U.S. economy, estimated over the 1969-2002 period, we show that the cost of underestimating the extent of misperceptions regarding the natural rates significantly exceeds the costs of overestimating such errors. Naive adoption of policy rules optimized under the false presumption that misperceptions regarding the natural rates are likely to be small proves particularly costly. Our results suggest that a simple and effective approach for dealing with ignorance about the degree of uncertainty in estimates of the natural rates is to adopt difference rules for monetary policy, in which the short-term nominal interest rate is raised or lowered from its existing level in response to inflation and changes in economic activity. These rules do not require knowledge of the natural rates of interest or unemployment for setting policy and are consequently immune to the likely misperceptions in these concepts. To illustrate the differences in outcomes that could be attributed to the alternative policies we also examine the role of misperceptions for the stagflationary experience of the 1970s and the disinflationary boom of the 1990s.

Monetary policy rules and the Great Inflation

The nature of monetary policy during the 1970s is evaluated through the lens of a forward-looking Taylor rule based on perceptions regarding the outlook for inflation and unemployment at the time policy decisions were made. The evidence suggests that policy during the 1970s was essentially indistinguishable from a systematic, activist, forward-looking approach such as is often identified with good policy advice in theoretical and econometric policy evaluation research. This points to the unpleasant possibility that the policy errors of the 1970s occurred despite the use of a seemingly desirable policy approach. Though the resulting activist policies could have appeared highly promising, they proved, in retrospect, counterproductive.

Price Stability and Monetary Policy Effectiveness when Nominal Interest Rates are Bounded at Zero

This paper employs stochastic simulations of a small structural rational expectations model to investigate the consequences of the zero bound on nominal interest rates. We find that if the economy is subject to stochastic shocks similar in magnitude to those experienced in the United States over the 1980s and 1990s, the consequences of the zero bound are negligible for target inflation rates as low as 2 percent. However, the effects of the constraint are non-linear with respect to the inflation target and produce a quantitatively significant deterioration of the performance of the economy with targets between 0 and 1 percent. The variability of output increases significantly and that of inflation also rises somewhat. Also, we show that the asymmetry of the policy ineffectiveness induced by the zero bound generates a non-vertical long-run Phillips curve. Average output falls increasingly short of potential with lower inflation targets.

The Reliability of Inflation Forecasts Based on Output Gap Estimates in Real Time

A stable predictive relationship between inflation and the output gap, often referred to as a Phillips curve, provides the basis for countercyclical monetary policy in many models. In this paper, we evaluate the usefulness of alternative univariate and multivariate estimates of the output gap for predicting inflation. Many of the ex post output gap measures we examine appear to be quite useful for predicting inflation. However, forecasts using real-time estimates of the same measures do not perform nearly as well. The relative usefulness of real-time output gap estimates diminishes further when compared to simple bivariate forecasting models which use past inflation and output growth. Forecast performance also appears to be unstable over time, with models often performing differently over periods of high and low inflation. These results call into question the practical usefulness of the output gap concept for forecasting inflation.

Inflation Zone Targeting

We study optimal monetary policy design in a simple model that deviates from the linear-quadratic paradigm and provides a rationale for the practice of inflation zone targeting. We show that the presence of either zone-quadratic preferences or a zone-linear relationship between inflation and economic activity provides strong incentives to deviate from conventional linear policies. We calibrate the model based on parameters for the U.S. and the euro area and employ a numerical dynamic programming algorithm to derive the optimal policies. With this algorithm, we examine the role of uncertainty, model structure and relative preference towards economic stability in determining the width of the implied targeted inflation zone. JEL Classification: E31, E52, E58, E61