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Estimation of DSGE Models When the Data are Persistent Author info | Abstract | Publisher info | Download info | Related research | Statistics Yuriy Gorodnichenko
Serena Ng
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Dynamic Stochastic General Equilibrium (DSGE) models are often solved and estimated under specific assumptions as to whether the exogenous variables are difference or trend stationary. However, even mild departures of the data generating process from these assumptions can severely bias the estimates of the model parameters. This paper proposes new estimators that do not require researchers to take a stand on whether shocks have permanent or transitory effects. These procedures have two key features. First, the same filter is applied to both the data and the model variables. Second, the filtered variables are stationary when evaluated at the true parameter vector. The estimators are approximately normally distributed not only when the shocks are mildly persistent, but also when they have near or exact unit roots. Simulations show that these robust estimators perform well especially when the shocks are highly persistent yet stationary. In such cases, linear detrending and first differencing are shown to yield biased or imprecise estimates.
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Date of creation: Jul 2009Date of revision:
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Find related papers by JEL classification: E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance O4 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
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Olivier Coibion & Yuriy Gorodnichenko, 2008.
"Strategic Interaction Among Heterogeneous Price-Setters In An Estimated DSGE Model ,"
NBER Working Papers
14323, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
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