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Model-Free Impulse Responses Author info | Abstract | Publisher info | Download info | Related research | Statistics Oscar Jorda (Dept. of Economics, U.C. Davis)
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This paper introduces methods for computing impulse response functions that do not require specification and estimation of the unknown dynamic multivariate system itself. The central idea behind these methods is to estimate flexible local projections at each period of interest rather than extrapolating into increasingly distant horizons from a given model, as it is usually done in vector autoregressions (VAR). The advantages of local projections are numerous: (1) they can be estimated by simple regression techniques with standard regression packages; (2) they are more robust to misspecification; (3) standard error calculation is direct; and (4) they easily accommodate experimentation with highly non-linear and flexible specifications that may be impractical in a multivariate context. Therefore, these methods are a natural alternative to estimating impulse responses from VARs. An application to a simple, closed-economy monetary model suggests that the output loss and inflation effects of an interest rate shock depend on the stage of the business cycle.
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Paper provided by EconWPA in its series Macroeconomics with number
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Length: 44 pages
Date of creation: 24 Mar 2004Date of revision:
Handle: RePEc:wpa:wuwpma:0403016Note: Type of Document - pdf; pages: 44. U.C. Davis Working Paper 03-08Contact details of provider: Web page: http://129.3.20.41
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Keywords: impulse response function ; local projection ; vector autoregression ; nonlinear ; Other versions of this item:
Paper Jorda, Oscar, 2004.
"Model-Free Impulse Responses ,"
Working Papers
06-8, University of California at Davis, Department of Economics.
[Downloadable!] Jorda, Oscar, 2003.
"Model-Free Impulse Responses ,"
Working Papers
03-8, University of California at Davis, Department of Economics.
[Downloadable!] Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
This paper has been announced in the following NEP Reports :
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