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We develop a flexible modeling framework to produce density nowcasts for US inflation at a trading-day frequency. Our framework: (1) combines individual density nowcasts from three classes of parsimonious mixed-frequency models; (2) adopts a novel flexible treatment in the use of the aggregation...
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Generalized Pareto Distribution (GPD) for modeling peaks over thresholds as in Extreme Value Theory, but casts the model in a …
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We use a simple New Keynesian model, with firm specific capital, non-zero steady-state inflation, long-run risks and Epstein-Zin preferences to study the volatility implications of a monetary policy shock. An unexpected increases in the policy rate by 150 basis points causes output and inflation...
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This note corrects a mistake in the estimation algorithm of the time-varying structural vector autoregression model of … the estimation of VAR or DSGE models with stochastic volatility. Relative to Primiceri (2005), the correct algorithm …
Persistent link: https://www.econbiz.de/10009744671
This note corrects a mistake in the estimation algorithm of the time-varying structural vector autoregression model of … the estimation of VAR or DSGE models with stochastic volatility. Relative to Primiceri (2005), the correct algorithm …
Persistent link: https://www.econbiz.de/10013081874
We compare real-time density forecasts for the euro area using three DSGE models. The benchmark is the Smets-Wouters model and its forecasts of real GDP growth and inflation are compared with those from two extensions. The first adds financial frictions and expands the observables to include a...
Persistent link: https://www.econbiz.de/10012921899