Graph theory-based network analysis of regional uncertainties of the US economy
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Date
Authors
Gupta, Rangan
Lau, Chi-Keung (Marco)
Sheng, Xin
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
We study the transmission mechanism of time-varying macroeconomic uncertainty across the US states. We analyse the contemporaneous and temporal causal relationships of uncertainty at the state level by utilising the Bayesian graphical VAR (BGVAR) model. Our results show that the current uncertainty of each state strongly depends on the previous level of uncertainty in its own state. We find evidence of strong contemporaneous and lagged dependence among US states. The analysis of this paper has important policy implications.
Description
Keywords
Bayesian graphical vector autoregressive (BGVAR), Uncertainty spillover, Macroeconomic uncertainty, United States (US), Uncertainty analysis, US economy, Transmission mechanisms, Time varying, Policy implications, Causal relationships, Value engineering, Public policy, Graph theory
Sustainable Development Goals
Citation
Gupta, R., Lau, C.-K.M. & Sheng, X. 2020, 'Graph theory-based network analysis of regional uncertainties of the US economy', Physica A: Statistical Mechanics and its Applications, vol. 540, art. 123064, pp. 1-11.
