Structural Estimation of the Output Gap: A Bayesian DSGE Approach for the U.S. Economy
Yasuo Hirose, Saori Naganuma
Abstract
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Yasuo Hirose, Saori Naganuma
Abstract
Open-access reader
We estimate the output gap that is consistent with a fully specified DSGE model. Given the structural parameters estimated using Bayesian methods, we estimate the output gap that is defined as a deviation of output from its flexible-price equilibrium. Our output gap illustrates the U.S. business cycles well, compared with other estimates. We find that the main source of the output gap movements is the demand shocks, but that the productivity shocks contributed to the stable output gap in the late 1990s. The robustness analysis shows that the estimated output gap is sensitive to the specification for monetary policy rules.
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We estimate the output gap that is consistent with a fully specified DSGE model. Given the structural parameters estimated using Bayesian methods, we estimate the output gap that is defined as a deviation of output from its flexible-price equilibrium. Our output gap illustrates the U.S. business cycles well, compared with other estimates. We find that the main source of the output gap movements is the demand shocks, but that the productivity shocks contributed to the stable output gap in the late 1990s. The robustness analysis shows that the estimated output gap is sensitive to the specification for monetary policy rules.
Key concepts: Output gap, Dynamic stochastic general equilibrium, Economics, Bayes estimator, Business cycle, Bayesian probability, Potential output, Robustness (evolution)