participants in seminars at the Federal Reserve Bank of Philadelphia and the University of Pennsylvania, as well as those at the Midwest Macroeconomics meetings, for their comments. The views expressed in this paper are those of the authors and do not necessarily reflect those of the Federal Reserve Bank of Philadelphia or of the Federal Reserve System. A REAL-TIME DATA SET FOR MACROECONOMISTS This paper presents the concept and uses of a real-time data set that can be used by economists for testing the robustness of published econometric results, for analyzing policy, and for forecasting. The data set consists of vintages, or snapshots, of the major macroeconomic data available at quarterly intervals in real time. The paper illustrates why such data may matter, explains the construction of the data set, examines the properties of several of the variables in the data set across vintages, examines key empirical papers in macroeconomics and investigates their robustness to different vintages, looks at how policy analysis may be affected by data revisions, and shows how forecasts can be affected by data revisions. A REAL-TIME DATA SET FOR MACROECONOMISTS I.

We show how correctly to extend known methods for generating error bands in reduced form VAR’s to overidentified models. We argue that the conventional pointwise bands common in the literature should be supplemented with measures of shape uncertainty, and we show how to generate such measures. We focus on bands that characterize the shape of the likelihood. Such bands are not classical confidence regions. We explain that classical confidence regions mix information about parameter location with information about model fit, and hence can be misleading as summaries of the implications of the data for the location of parameters. Because classical confidence regions also present conceptual and computational problems in multivariate time series models, we suggest that likelihood-based bands, rather than approximate confidence bands based on asymptotic theory, be standard in reporting results for this type of model. 1 I.

We characterize and measure a long-term risk-return trade-off for the valuation of cash flows exposed to fluctuations in macroeconomic growth. This trade-off features risk prices of cash flows that are realized far into the future but continue to be reflected in asset values. We apply this analysis to claims on aggregate cash flows and to cash flows from value and growth portfolios by imputing values to the long-run dynamic responses of cash flows to macroeconomic shocks. We explore the sensitivity of our results to features of the economic valuation model and of the model cash flow dynamics. I.

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The bootstrap is a method for estimating the distribution of an estimator or test statistic by resampling one’s data. It amounts to treating the data as if they were the population for the purpose of evaluating the distribution of interest. Under mild regularity conditions, the bootstrap yields an approximation to the distribution of an estimator or test statistic that is at least as accurate as the

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

In this paper, an empirically stable money demand model for M3 in the euro area is constructed. Starting with a multivariate system, three cointegrating relationships with economic content are found: (i) the spread between the long- and the short-term nominal interest rates, (ii) the long-term real interest rate, and (iii) a long-run demand for broad money M3. There is evidence that the determinants of M3 money demand are weakly exogenous with respect to the long-run parameters. Hence, following a general-to-specific modelling approach, a parsimonious conditional error-correction model for M3 money demand is derived which can be interpreted economically. For the conditional model, longand short-run parameter stability is extensively tested and not rejected. Insights into the dynamics of money demand are gained by means of SVAR techniques exploring the impulse response functions of the cointegrated multivariate system.

While much empirical work has addressed the role of monetary policy shocks in exchange rate behavior, conclusions have been clouded by the lack of plausible identifying assumptions. We apply a recently developed inference procedure allowing us to relax dubious identifying assumptions. This work overturns some earlier results and strengthens others: i) Contrary to earlier findings of "delayed overshooting," the peak exchange rate effect of policy shocks may come nearly immediately after the shock; ii) In every otherwise reasonable identification, monetary policy shocks lead to large uncovered interest rate parity (UIP) deviations; iii) Monetary policy shocks may account for a smaller portion of the variance of exchange rates than found in earlier estimates. While (i) is consistent with overshooting, (ii) implies that the overshooting cannot be driven by Dornbusch's mechanism, and (iii) gives reason to doubt whether monetary policy shocks are the main source of exchange rate volatility.

: Many explanations of the stylized facts concerning real exchange rate movements focus on monetary shocks, but it is often found empirically that monetary shocks are unimportant. I provide evidence that is contrary to this empirical finding. Using over 100 years of data, I estimate the contribution of various shocks to explaining variation in the real pound-dollar exchange rate. Monetary shocks consist of both monetary base and money multiplier shocks; real shocks include fiscal, productivity, and preference shocks. Estimates of several alternative VAR specifications provide a range for the contribution of the various shocks: from 19 to 60 percent in the short-run for monetary shocks and 4 to 26 percent for fiscal and productivity shocks combined. My modeling strategy and results are compared directly to related work. The results lend empirical support to the convention in recent quantitative general equilibrium modeling of focusing on monetary shocks. Keywords: exchange rates, moneta...

This paper puts forward a characterization of the structural features of the economic system relevant to the monetary-policy decisions of the European Central Bank. The econometric analysis adopts a parsimonious VAR representation of three key macroeconomic variables (interest rates, prices and GDP) aggregated across countries to obtain area-wide time series. The exogenous disturbances driving the multivariate system are identified imposing restrictions based on economic theory. The dynamic properties of the estimated models are analyzed and compared with the available evidence for the US. The robustness of this characterization is corroborated by the estimates from a different sample period and by the findings from an alternative model that singles out German monetary policy in view of its anchor role within the ERM. ECB Working Paper No. 2 . May 1999 1 1