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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:  View help for Summary 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:  View help for Subject Terms Statistical
JEL Classification:  View help for JEL Classification
      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:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 1/1973 – 3/1973 (Q1 1973)
Universe:  View help for Universe Real GDP growth and ficial conditions for the U.S.
Data Type(s):  View help for Data Type(s) aggregate data

Methodology

Data Source:  View help for Data Source St. Louis FRED

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