Measuring Uncertainty and Its Impact on the Economy
Измерение неопределенности и ее влияния на экономику
2017-06-18
SCID: 54.1/pbp5zef6
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historical decompositionslarge vector autoregressionmacroeconomic uncertaintystochastic volatilityuncertainty shocks
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Abstract (AI)
We propose a new model for measuring uncertainty and its effects on the economy, based on a large vector autoregression with stochastic volatility driven by common factors representing macroeconomic and financial uncertainty. The uncertainty measures reflect changes in both the conditional mean and volatility of the variables, and their impact on the economy can be assessed within the same framework. Estimates with U.S. data show substantial commonality in uncertainty, with sizable effects of uncertainty on key macroeconomic and financial variables. However, historical decompositions show a limited role of uncertainty shocks in macroeconomic fluctuations.
Key Findings
1
A new uncertainty model uses a large vector autoregression with stochastic volatility driven by common macroeconomic and financial factors.
2
The measures capture uncertainty changes in both variables’ conditional means and volatilities within one analytical framework.
3
U.S. estimates reveal substantial commonality in uncertainty across macroeconomic and financial variables.
4
Uncertainty has sizable effects on key macroeconomic and financial variables, although uncertainty shocks explain only a limited share of historical macroeconomic fluctuations.
Research Object
U.S. macroeconomic and financial system
Research Subject
Measurement of macroeconomic and financial uncertainty and its effects on key macroeconomic and financial variables and fluctuations
Publication Details
Publication Date
2017-06-18
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