We establish five facts about prices in the U.S. economy: 1) The median implied duration of consumer prices when sales are excluded at the product level is between 8 and 11 months. The median implied duration of finished goods producer prices is 8.7 months. 2) One-third of regular price changes are price decreases. 3) The frequency of price increases responds strongly to inflation while the frequency of price decreases and the size of price increases and price decreases do not. 4) The frequency of price change is highly seasonal: It is highest in the 1st quarter and lowest in the 4th quarter. 5) The hazard function of price changes for individual consumer and producer goods is downward sloping for the first few months and then flat (except for a large spike at 12 months in consumer services and all producer prices). These facts are based on CPI microdata and a new comprehensive data set of microdata on producer prices that we construct from raw production files underlying the PPI. We show that the 1st, 2nd and 3rd facts are consistent with a benchmark menu-cost model, while the 4th and 5th facts are not.

We use a micro-founded macroeconometric modeling framework to investigate the design of monetary policy when the central bank faces uncertainty about the true structure of the economy. We apply Bayesian methods to estimate the parameters of the baseline specification using postwar U.S. data and then determine the policy under commitment that maximizes household welfare. We find that the performance of the optimal policy is closely matched by a simple operational rule that focuses solely on stabilizing nominal wage inflation. Furthermore, this simple wage stabilization rule is remarkably robust to uncertainty about the model parameters and to various assumptions regarding the nature and incidence of the innovations. However, the characteristics of optimal policy are very sensitive to the specification of the wage contracting mechanism, thereby highlighting the importance of additional research regarding the structure of labor markets and wage determination.

This chapter examines the concept of inflation persistence in macroeconomic theory. It begins with a definition of persistence, emphasizing the difference between reduced-form and structural persistence. It then examines a number of empirical measures of reduced-form persistence, considering the possibility that persistence has changed over time. The chapter then examines the theoretical sources of persistence, distinguishing “intrinsic ” from “inherited” persistence, and deriving a number of analytical results on persistence. It summarizes the implications for persistence from the literatures on “stickyinformation” models, learning and so-called trend inflation models, providing some new results throughout.

The views expressed in this paper are those of the authors. No responsibility for them should be attributed to the Bank of Canada. This paper was prepared at Stanford University and was not edited by the Bank of Canada. iii

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This paper uses a structurally estimated macroeconometric model, denoted the MC model, to evaluate in ation targeting in the United States. Various interest rate rules are tried with differing weights on in ation and output, and various optimal control problems are solved using differing weights on in ation and output targets. Price-level targeting is also considered. The results show that 1) there are output costs to in ation targeting, especially for price shocks, 2) price-level targeting is dominated by in ation targeting, 3) the estimated interest rate rule of the Fed (in Table 4) is consistent with the Fed placing equal weights on in ation and unemployment in a loss function, 4) the estimated interest rate rule does a fairly good job at lowering variability, and 5) considerable economic variability is left after the Fed has done its best. Overall, the results suggest that the Fed should continue to behave as it has in the past. 1

What accounts for the significant real effects of monetary policy shocks? And what accounts for the persistent and hump shaped responses of output and inflation in response to such shocks? These questions are investigated in a model that incorporates labor market search, habit persistence, sticky prices, and policy inertia. While habit persistence and price stickiness are important for the hump shaped output response and the long, drawn out inflation response, respectively, labor market frictions increase the output response and reduce the inflation response relative to an otherwise similar model based on a Walrasian labor market. Significantly, policy inertia itself is found to be the most important factor in accounting for the magnitude of the output effects of policy shocks in the model.

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This paper reviews Bayesian methods that have been developed in recent years to estimate and evaluate dynamic stochastic general equilibrium (DSGE) models. We consider the estimation of linearized DSGE models, the evaluation of models based on Bayesian model checking, posterior odds comparisons, and comparisons to vector autoregressions, as well as the nonlinear estimation based on a second-order accurate model solution. These methods are applied to data generated from correctly specified and misspecified linearized DSGE models, and a DSGE model that was solved with a second-order perturbation method. (JEL C11, C32, C51, C52)