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Project Citation: 

Forni, Mario, Gambetti, Luca, Lippi, Marco, and Sala, Luca. Replication data for: Noisy News in Business Cycles. Nashville, TN: American Economic Association [publisher], 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114132V1

Project Description

Summary:  View help for Summary We investigate the role of "noise" shocks as a source of business cycle fluctuations. 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 a sizable fraction of their prediction error variance at business cycle horizons.

Scope of Project

JEL Classification:  View help for JEL Classification
      C32 Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
      D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      E12 General Aggregative Models: Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
      E23 Macroeconomics: Production
      E32 Business Fluctuations; Cycles
      E43 Interest Rates: Determination, Term Structure, and Effects


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