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VARs, Common Factors and the Empirical Validation of Equilibrium Business Cycle Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Giannone, Domenico
Reichlin, Lucrezia
Sala, Luca
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Equilibrium business cycle models have typically less shocks than variables. As pointed out by Altug, 1989, and Sargent, 1989, if variables are measured with error, this characteristic implies that the model solution for measured variables has a factor structure. This Paper compares estimation performance for the impulse response coefficients based on a VAR approximation to this class of models and an estimation method that explicitly takes into account the restrictions implied by the factor structure. Bias and mean squared error for both factor based and VAR based estimates of impulse response functions are quantified using, as a data generating process, a calibrated standard equilibrium business cycle model. We show that, at short horizons, VAR estimates of impulse response functions are less accurate than factor estimates while the two methods perform similarly at medium and long run horizons.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
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Date of creation: Jan 2002Date of revision:
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Keywords: dynamic factor models ; equilibrium business cycle models ; identification ; structural VARs ; Other versions of this item:
Article Giannone, Domenico & Reichlin, Lucrezia & Sala, Luca, 2006.
"VARs, common factors and the empirical validation of equilibrium business cycle models ,"
Journal of Econometrics ,
Elsevier, vol. 132(1), pages 257-279, May.
[Downloadable!] (restricted) Paper Find related papers by JEL classification: C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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