Data and Code for: Myopia and Anchoring
Principal Investigator(s): View help for Principal Investigator(s) George-Marios Angeletos, Massachusetts Institute of Technology; Zhen Huo, Yale University
Version: View help for Version V1
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Project Citation:
Angeletos, George-Marios, and Huo, Zhen. Data and Code for: Myopia and Anchoring. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-03-19. https://doi.org/10.3886/E124903V1
Project Description
Summary:
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We develop an equivalence between the equilibrium effects of incomplete information and those of two behavioral distortions: myopia, or extra discounting of the future; and anchoring of current behavior to past behavior, as in models with habit persistence or adjustment costs. We show how these distortions depend on higher-order beliefs and GE mechanisms, and how they can be disciplined by evidence on expectations. We finally illustrate the use of our toolbox with a quantitative application in the context of inflation, a bridge to the HANK literature, and an extension to networks.
Funding Sources:
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National Science Foundation (SES-1757198)
Scope of Project
Subject Terms:
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Informational frictions;
dynamics beauty contests;
DSGE
JEL Classification:
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C72 Noncooperative Games
D80 Information, Knowledge, and Uncertainty: General
E30 Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data)
E70 Macro-Based Behavioral Economics: General
C72 Noncooperative Games
D80 Information, Knowledge, and Uncertainty: General
E30 Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data)
E70 Macro-Based Behavioral Economics: General
Geographic Coverage:
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United States
Time Period(s):
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1968 – 2018
Data Type(s):
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aggregate data;
program source code;
survey data
Methodology
Data Source:
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Individual Forecasts for the Survey of Professional Forecasters, 1968-2018
Historical Data Files for the Real-Time Data Set, Price Index for GNP/GDP (P), Quarterly Vintages, 1968-2018
Historical Data Files for the Real-Time Data Set, Price Index for GNP/GDP (P), Quarterly Vintages, 1968-2018
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