Graph theory-based network analysis of regional uncertainties of the US economy

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Authors

Gupta, Rangan
Lau, Chi-Keung (Marco)
Sheng, Xin

Journal Title

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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.

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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

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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.