Search Results
Showing results 1 to 10 of approximately 15.
(refine search)
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
Inflation dynamics and international linkages: a model of the United States, the euro area, and Japan
In this paper we estimate a small macroeconometric model of the United States, the euro area and Japan with rational expectations and nominal rigidities due to staggered contracts. Comparing three popular contracting specifications we find that euro area and Japanese inflation dynamics are best explained by Taylor-style contracts, while Buiter-Jewitt/Fuhrer-Moore contracts perform somewhat better in fitting U.S. inflation dynamics. We are unable to fit Calvo-style contracts to inflation dynamics in any of the three economies without allowing either for ad-hoc persistence in unobservables or a ...
Working Paper
A quantitative exploration of the opportunistic approach to disinflation
A number of observers have advocated recently that the Federal Reserve take an ``opportunistic'' approach to the conduct of monetary policy. A hallmark of this approach is that the central bank focuses on fighting inflation when inflation is high, but focuses on stabilizing output when inflation is low. The implied policy rule is nonlinear. This paper compares the behavior of inflation and output under opportunistic and conventional linear policies. Using stochastic simulations of a small-scale rational expectations model, we study the cost and time required to achieve a given disinflation, ...
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 ...
Journal Article
Economic projections and rules of thumb for monetary policy
Monetary policy analysts often rely on rules of thumb, such as the Taylor rule, to describe historical monetary policy decisions and to compare current policy with historical norms. Analysis along these lines also permits evaluation of episodes where policy may have deviated from a simple rule and examination of the reasons behind such deviations. One interesting question is whether such rules of thumb should draw on policymakers' forecasts of key variables, such as inflation and unemployment, or on observed outcomes. Importantly, deviations of the policy from the prescriptions of a Taylor ...
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
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
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 ...
Conference Paper
Certainty equivalence - discussion
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 ...