Noisy News in Business Cycles
We investigate the role of "noise" shocks as a source of business cycle fl uctuations. To do so we set up a simple model of imperfect information and derive restrictions for identifying the noise shock in a VAR model. The novelty of our approach is that identification is reached by means of dynamic rotations of the reduced form residuals. We find that noise shocks generate hump-shaped responses of GDP, consumption and investment and account for quite a sizable fraction of their prediction error variance at business cycle horizons. JEL classification: C32, E32, E62. Keywords: Nonfundamentalness, SVAR, Imperfect Information, News, Noise, Business cycles.
Year of publication: |
2014
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Authors: | Forni, Mario ; Gambetti, Luca ; Lippi, Marco ; Sala, Luca |
Institutions: | IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University |
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