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Author:Hirose, Yasuo 

Working Paper
Monetary policy, trend inflation, and the Great Moderation: an alternative interpretation: comment based on system estimation
What caused the U.S. economy's shift from the Great Inflation era to the Great Moderation era? {{p}} A large literature shows that the shift was achieved by the change in monetary policy from a passive to an active response to inflation. However, Coibion and Gorodnichenko (2011) attribute the shift to a fall in trend inflation along with the policy change, based on a solely estimated Taylor rule and a calibrated staggered-price model. We estimate the Taylor rule and the staggered-price model jointly and demonstrate that the change in monetary policy responses to inflation and other variables suffices for explaining the shift.
AUTHORS: Kurozumi, Takushi; Hirose, Yasuo; Van Zandweghe, Willem
DATE: 2015-12-01

Working Paper
Monetary Policy and Macroeconomic Stability Revisited
A large literature with canonical New Keynesian models has established that the Fed's policy change from a passive to an active response to inflation led to U.S. macroeconomic stability after the Great Inflation of the 1970s. We revisit this view by estimating a staggered price model with trend inflation using a Bayesian method that allows for equilibrium indeterminacy and adopts a sequential Monte Carlo algorithm. {{p}} The model empirically outperforms a canonical New Keynesian model and demonstrates an active response to inflation even in the Great Inflation era, during which the U.S. economy was likely in the indeterminacy region of the model's parameter space. A more active response to inflation alone does not suffice for explaining the shift to determinacy after the Great Inflation, unless it is accompanied by a decline in trend inflation or a change in policy responses to the output gap and output growth.
AUTHORS: Hirose, Yasuo; Van Zandweghe, Willem; Kurozumi, Takushi
DATE: 2017-01-04

Working Paper
Indeterminacy and forecastability
Recent studies document the deteriorating performance of forecasting models during the Great Moderation. This conversely implies that forecastability is higher in the preceding era, when the economy was unexpectedly volatile. We offer an explanation for this phenomenon in the context of equilibrium indeterminacy in dynamic stochastic general equilibrium models. First, we analytically show that a model under indeterminacy exhibits richer dynamics that can improve forecastability. Then, using a prototypical New Keynesian model, we numerically demonstrate that indeterminacy due to passive monetary policy can yield superior forecastability as long as the degree of uncertainty about sunspot fluctuations is relatively small.
AUTHORS: Fujiwara, Ippei; Hirose, Yasuo
DATE: 2011

Working Paper
Monetary Policy and Macroeconomic Stability Revisited
A large literature has established that the Fed? change from a passive to an active policy response to inflation led to US macroeconomic stability after the Great Inflation of the 1970s. This paper revisits the literature?s view by estimating a generalized New Keynesian model using a full-information Bayesian method that allows for equilibrium indeterminacy and adopts a sequential Monte Carlo algorithm. The model empirically outperforms canonical New Keynesian models that confirm the literature?s view. Our estimated model shows an active policy response to inflation even during the Great Inflation. More importantly, a more active policy response to inflation alone does not suffice for explaining the US macroeconomic stability, unless it is accompanied by a change in either trend inflation or policy responses to the output gap and output growth. This extends the literature by emphasizing the importance of the changes in other aspects of monetary policy in addition to its response to inflation.
AUTHORS: Kurozumi, Takushi; Van Zandweghe, Willem; Hirose, Yasuo
DATE: 2019-06-27

Working Paper
Identifying News Shocks with Forecast Data
The empirical importance of news shocks?anticipated future shocks?in business cycle fluctuations has been explored by using only actual data when estimating models augmented with news shocks. This paper additionally exploits forecast data to identify news shocks in a canonical dynamic stochastic general equilibrium model. The estimated model shows new empirical evidence that technology news shocks are a major source of fluctuations in U.S. output growth. Exploiting the forecast data not only generates more precise estimates of news shocks and other parameters in the model, but also increases the contribution of technology news shocks to the fluctuations.
AUTHORS: Hirose, Yasuo; Kurozumi, Takushi
DATE: 2019-05-01

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