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Presented at The Forecasters Club, New York, New York, February 29, 2012.>
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This paper presents new evidence on the benefits of conditioning quarterly model forecasts on monthly current-quarter data. On the basis of a quarterly Bayesian vector error corrections model, the findings indicate that such conditioning produces economically relevant and statistically...
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The authors report the results of the estimation of a rich dynamic stochastic general equilibrium model of the U.S. economy with both stochastic volatility and parameter drifting in the Taylor rule. They use the results of this estimation to examine the recent monetary history of the U.S. and to...
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Society of American Business Editors and Writers Fall Conference, City University of New York (CUNY) Graduate School of Journalism. New York, NY. President Charles Plosser gives his views on the regional and national economy and discusses why he remains optimistic about the economic outlook. He...
Persistent link: https://www.econbiz.de/10010941663
Lehigh Valley Partnership and Lehigh Valley Economic Development Corporation. Allentown, PA. President Charles Plosser gives his views on the regional and national economy and discusses why he remains optimistic about the economic outlook. He also shares his thoughts about monetary policy and...
Persistent link: https://www.econbiz.de/10010941664
The authors study the effects of changes in uncertainty about future fiscal policy on aggregate economic activity. Fiscal deficits and public debt have risen sharply in the wake of the financial crisis. While these developments make fiscal consolidation inevitable, there is considerable...
Persistent link: https://www.econbiz.de/10009216227
The literature on optimal monetary policy in New Keynesian models under both commitment and discretion usually solves for the optimal allocations that are consistent with a rational expectations market equilibrium, but it does not study whether the policy can be implemented given the available...
Persistent link: https://www.econbiz.de/10009216230