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Working Paper
Interest-rate smoothing and optimal monetary policy: a review of recent empirical evidence
The Federal Reserve and other central banks tend to change short-term interest rates in sequences of small steps in the same direction and reverse the direction of interest rate movements only infrequently. These characteristics, often referred to as interest-rate smoothing, have led to criticism that policy responds too little and too late to macroeconomic developments, suggesting to some observers that the Federal Reserve has an objective of minimizing interest-rate volatility. This paper, however, argues that the observed degree of interest-rate smoothing may well represent optimal ...
Working Paper
Monetary policy and uncertainty about the natural unemployment rate
This paper studies the optimal monetary policy in the presence of uncertainty about the natural rate and the short-run inflation-unemployment tradeoff. Two conflicting motives drive policy. In the static version of the model, uncertainty provides a motive for the policymaker to move cautiously. In the dynamic version, uncertainty motivates an element of experimentation. I find that the optimal policy that balances these motives typically still exhibits gradualism, i.e., is less aggressive than a policy that disregards parameter uncertainty. Exceptions occur when uncertainty is very high and ...
Working Paper
NAIRU uncertainty and nonlinear policy rules
Meyer (1999) has suggested that episodes of heightened uncertainty about the NAIRU may warrant a nonlinear policy response to changes in the unemployment rate. This paper offers a theoretical justification for such a nonlinear policy rule, and provides some empirical evidence on the relative performance of linear and nonlinear rules when there is heightened uncertainty about the NAIRU.
Working Paper
Learning by doing and the value of optimal experimentation
Research on learning-by-doing has typically been restricted to cases where estimation and control can be treated separately. Recent work has provided convergence results for more general learning problems where experimentation is an important aspect of optimal control. However the associated optimal policy cannot be derived analytically because Bayesian learning introduces a nonlinearity in the dynamic programming problem. This paper characterizes the optimal policy numerically and shows that it incorporates a substantial degree of experimentation. Dynamic simulations indicate that optimal ...
Working Paper
Monetary policy, parameter uncertainty and optimal learning
Since central banks have limited information concerning the transmission channel of monetary policy, they are faced with the difficult task of simultaneously controlling the policy target and estimating the impact of policy actions. A tradeoff between estimation and control arises because policy actions influence estimation and provide information which may improve future performance. I analyze this tradeoff in a simple model with parameter uncertainty and conduct dynamics simulations of the policymaker's decision problem in the presence of the type of uncertainties that arose in the wake of ...
Working Paper
Insurance policies for monetary policy in the euro area
In this paper, the authors aim to design a monetary policy for the euro area that is robust to the high degree of model uncertainty at the start of monetary union and allows for learning about model probabilities. To this end, they compare and ultimately combine Bayesian and worst-case analysis using four reference models estimated with pre-EMU synthetic data. The authors start by computing the cost of insurance against model uncertainty, that is, the relative performance of worst-case or minimax policy versus Bayesian policy. While maximum insurance comes at moderate costs, they highlight ...
Working Paper
Data uncertainty and the role of money as an information variable for monetary policy
This paper demonstrates that money can play an important role as an information variable and may result in major improvements in current output estimates. However, the specific nature of this role depends on the magnitude of the output measurement error relative to the money demand shock. In particular, we find noticeable but small improvements in output estimates due to the inclusion of money growth in the information set. Money plays a quantitatively more important role with regard to output estimation if we allow for a contribution of monetary analysis in reducing uncertainty due to money ...
Working Paper
The performance of forecast-based monetary policy rules under model uncertainty
We investigate the performance of forecast-based monetary policy rules using five macroeconomic models that reflect a wide range of views on aggregate dynamics. We identify the key characteristics of rules that are robust to model uncertainty: such rules respond to the one-year ahead inflation forecast and to the current output gap, and incorporate a substantial degree of policy inertia. In contrast, rules with longer forecast horizons are less robust and are prone to generating indeterminacy. In light of these results, we identify a robust benchmark rule that performs very well in all five ...
Working Paper
Efficient monetary policy design near price stability
We study the design of monetary policy in a low inflation environment taking into account the limitations imposed by the zero bound on nominal interest rates. Using numerical dynamic programming methods, we compute optimal policies in a simple, calibrated open-economy model and evaluate the effect of the liquidity trap generated by the zero bound. We consider the possibility that the quantity of base money may affect output and inflation even when the interest rate is constrained at zero and explicitly account for the substantial degree of uncertainty regarding such quantity effects. As an ...