Showing 1 - 8 of 8
This paper studies the pruned state-space system for higher-order approximations to the solutions of DSGE models. For second- and third-order approximations, we derive the statistical properties of this system and provide closed-form expressions for first and second unconditional moments and...
Persistent link: https://www.econbiz.de/10010969411
Motivated by the recent experience of the U.S. and the Eurozone, we describe the quantitative properties of a New …
Persistent link: https://www.econbiz.de/10011271396
We propose a novel method to estimate dynamic equilibrium models with stochastic volatility. First, we characterize the properties of the solution to this class of models. Second, we take advantage of the results about the structure of the solution to build a sequential Monte Carlo algorithm to...
Persistent link: https://www.econbiz.de/10011252335
fall of the great American inflation from the late 1960s to the early 1980s and of the great moderation of business cycle … outcomes across these periods is attributed to the time-varying volatility of shocks. The history for inflation is more nuanced …, as a more vigorous stand against it would have reduced inflation in the 1970s, but not completely eliminated it. In …
Persistent link: https://www.econbiz.de/10008601690
We 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 uncertainty about...
Persistent link: https://www.econbiz.de/10009251509
performance of the U.S. economy during the 1990s was a result of good shocks; and 4) the response of monetary policy to inflation …
Persistent link: https://www.econbiz.de/10008627133
households. Moreover, we show how the movements in the pricing parameters are correlated with inflation. Thus, our results cast …
Persistent link: https://www.econbiz.de/10005084900
This paper shows how particle filtering allows us to undertake likelihood-based inference in dynamic macroeconomic models. The models can be nonlinear and/or non-normal. We describe how to use the output from the particle filter to estimate the structural parameters of the model, those...
Persistent link: https://www.econbiz.de/10005725243