Replication data for: Vulnerable Growth
Principal Investigator(s): View help for Principal Investigator(s) Tobias Adrian; Nina Boyarchenko; Domenico Giannone
Version: View help for Version V1
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Project Citation:
Adrian, Tobias, Boyarchenko, Nina, and Giannone, Domenico. Replication data for: Vulnerable Growth. Nashville, TN: American Economic Association [publisher], 2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113169V1
Project Description
Summary:
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We study the conditional distribution of GDP growth as a function of economic and financial conditions. Deteriorating financial conditions are associated with an increase in the conditional volatility and a decline in the conditional mean of GDP growth, leading the lower quantiles of GDP growth to vary with financial conditions and the upper quantiles to be stable over time. Upside risks to GDP growth are low in most periods while downside risks increase as financial conditions become tighter. We argue that amplification mechanisms in the financial sector generate the observed growth vulnerability dynamics.
Scope of Project
Subject Terms:
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Statistical
JEL Classification:
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C53 Forecasting Models; Simulation Methods
E23 Macroeconomics: Production
E27 Macroeconomics: Consumption, Saving, Production, Employment, and Investment: Forecasting and Simulation: Models and Applications
E32 Business Fluctuations; Cycles
E44 Financial Markets and the Macroeconomy
C53 Forecasting Models; Simulation Methods
E23 Macroeconomics: Production
E27 Macroeconomics: Consumption, Saving, Production, Employment, and Investment: Forecasting and Simulation: Models and Applications
E32 Business Fluctuations; Cycles
E44 Financial Markets and the Macroeconomy
Geographic Coverage:
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United States
Time Period(s):
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1/1973 – 3/1973 (Q1 1973)
Universe:
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Real GDP growth and ficial conditions for the U.S.
Data Type(s):
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aggregate data
Methodology
Data Source:
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St. Louis FRED
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