Data and Code for: Overreaction and Diagnostic Expectations in Macroeconomics
Principal Investigator(s): View help for Principal Investigator(s) Pedro Bordalo, University of Oxford; Nicola Gennaioli, Bocconi University; Andrei Shleifer, Harvard University
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
|---|---|---|---|
| JEP_Replication_BGS | 07/25/2022 12:16:PM |
Project Citation:
Bordalo, Pedro, Gennaioli, Nicola, and Shleifer, Andrei. Data and Code for: Overreaction and Diagnostic Expectations in Macroeconomics. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-07-27. https://doi.org/10.3886/E172721V1
Project Description
Summary:
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In this paper, we present the case for the centrality of overreaction in expectations for
addressing important challenges in finance and macroeconomics.
Scope of Project
JEL Classification:
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C53 Forecasting Models; Simulation Methods
D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
D84 Expectations; Speculations
E13 General Aggregative Models: Neoclassical
E17 General Aggregative Models: Forecasting and Simulation: Models and Applications
E27 Macroeconomics: Consumption, Saving, Production, Employment, and Investment: Forecasting and Simulation: Models and Applications
E47 Money and Interest Rates: Forecasting and Simulation: Models and Applications
C53 Forecasting Models; Simulation Methods
D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
D84 Expectations; Speculations
E13 General Aggregative Models: Neoclassical
E17 General Aggregative Models: Forecasting and Simulation: Models and Applications
E27 Macroeconomics: Consumption, Saving, Production, Employment, and Investment: Forecasting and Simulation: Models and Applications
E47 Money and Interest Rates: Forecasting and Simulation: Models and Applications
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