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来源类型Working Paper
规范类型报告
DOI10.3386/w14872
来源IDWorking Paper 14872
DSGE Model-Based Forecasting of Non-modelled Variables
Frank Schorfheide; Keith Sill; Maxym Kryshko
发表日期2009-04-08
出版年2009
语种英语
摘要This paper develops and illustrates a simple method to generate a DSGE model-based forecast for variables that do not explicitly appear in the model (non-core variables). We use auxiliary regressions that resemble measurement equations in a dynamic factor model to link the non-core variables to the state variables of the DSGE model. Predictions for the non-core variables are obtained by applying their measurement equations to DSGE model-generated forecasts of the state variables. Using a medium-scale New Keynesian DSGE model, we apply our approach to generate and evaluate recursive forecasts for PCE inflation, core PCE inflation, the unemployment rate, and housing starts along with predictions for the seven variables that have been used to estimate the DSGE model.
主题Econometrics ; Estimation Methods ; Macroeconomics ; Consumption and Investment ; Money and Interest Rates
URLhttps://www.nber.org/papers/w14872
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/572547
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GB/T 7714
Frank Schorfheide,Keith Sill,Maxym Kryshko. DSGE Model-Based Forecasting of Non-modelled Variables. 2009.
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