A country’s suitability for entry into a currency union depends on a number of economic conditions. These include, inter alia, the intensity of trade with other potential members of the currency union, and the extent to which domestic business cycles are correlated with those of the other countries. But international trade patterns and international business cycle correlations are endogenous. This paper develops and investigates the relationship between the two phenomenon. Using thirty years of data for twenty industrialized countries, we uncover a strong and striking empirical finding: countries with closer trade links tend to have more tightly correlated business cycles. It follows that countries are more likely to satisfy the criteria for entry into a currency

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 paper discusses the short-mn tradeoffbetween inflation and unemployment. Although this tradeoff remains a necessary building block of business cycle theory, economists have yet to provide a completely satisfactory explanation for it. According to the consensus view among central bankers and monetary economists, a contractionary monetary shock raises unemployment, at least temporarily, and leads to a delayed and gradual fall in inflation. Standard dynamic models of price adjustment, however, carmot explain this pattern of responses. Reconciling the consensus view about the effects of monetary policy with models of price adjustment remains an outstanding puzzle for business cycle theorists.

This paper studies optimal monetary policy in a model where inflation is persistent. Two types of price setters are assumed to exist. One acts rationally given Calvo-type constraints on price setting. The other type sets prices according to a rule-of-thumb. This results in a Phillips curve with both a forward-looking term and a backward-looking term. The Phillips curve nests a standard purely forward-looking Phillips curve as well as a standard purely backward-looking Phillips curve as special cases. A cost push supply shock is derived from microfoundations by adding a time varying income tax and by making the elasticity of substitution between goods stochastic. A central bank loss function for this model is derived from a second order Taylor approximation of the welfare. Optimal monetary policy for different relative values of the forward- and backward-looking terms is then analyzed for both the commitment case and the case of discretion.

This paper proposes a general method based on a property of zero-sum two-player games to derive robust optimal monetary policy rules – the best rules among those that yield an acceptable performance in a specified range of models – when the true model is unknown, and model uncertainty is viewed as uncertainty about parameters of the structural model. The method is applied to characterize robust optimal “Taylor rules” in a simple forward-looking macroeconomic model that can be derived from first principles. While it is commonly believed that monetary policy should be less responsive when there is parameter uncertainty, we show that robust optimal Taylor rules prescribe in general a stronger response of the interest rate to fluctuations in inflation and the output gap than is the case in the absence of uncertainty. Thus model uncertainty does not necessarily justify a relatively small response of actual monetary policy.

Structural equation modeling (SEM) has dominated causal analysis in the social and behavioral sciences since the 1960s. Currently, many SEM practitioners are having difficulty articulating the causal content of SEM and are seeking foundational answers.

Abstract: This paper uses a simple New Keynesian monetary DSGE model as a prior for a vector autoregression and shows that the resulting model is competitive with standard benchmarks in terms of forecasting and can be used for policy analysis. JEL classification: C11, C32, C53

We describe a behavior of a central bank when its measures of current inflation and output are subject to measurement errors, in a framework of optimizing models with nominal price stickiness. In our model, a central bank sets the interest rate equal to its current estimate of the so-called Wicksellian natural rate of interest. This is shown to imply that the interest rate responds to the central bank’s estimates of both current inflation and output gap, as advocated by Taylor (1993). It is also shown that the noise contained in the indicators justifies a degree of policy cautiousness. A reduced-form representation of optimal policy should exhibit interest-rate smoothing, which is often found in the empirical literature on monetary policy reaction functions.

A number of studies have stressed the role of movements in US interest rates and country spreads in driving business cycles in emerging market economies. At the same time, country spreads have been found to respond to changes in both the US interest rate and domestic conditions in emerging markets. These intricate interrelationships leave open a number of fundamental questions: Do country spreads drive business cycles in emerging countries or vice versa, or both? Do US interest rates affect emerging countries directly or primarily through their effect on country spreads? This paper addresses these and other related questions using a methodology that combines empirical and theoretical elements. The main findings are: (1) US interest rate shocks explain about 20 percent of movements in aggregate activity in emerging market economies at business-cycle frequency. (2) Country spread shocks explain about 12 percent of business-cycle movements in emerging economies. (3) About 60 percent of movements in country spreads are explained by country-spread shocks. (4) In response to an increase in US interest rates, country spreads first fall and then display a large, delayed overshooting; (5) US-interest-rate shocks affect domestic variables mostly through their

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