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

Author

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

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.

Suggested Citation

  • Gupta, Rangan & Lau, Chi-Keung (Marco) & Sheng, Xin, 2020. "Graph theory-based network analysis of regional uncertainties of the US Economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    • Handle: RePEc:eee:phsmap:v:540:y:2020:i:c:s0378437119317315
    DOI: 10.1016/j.physa.2019.123064
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    References listed on IDEAS

    as
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    23. Christina Christou & Giray Gozgor & Rangan Gupta & Chi keung Marco Lau, 2020. "Are Uncertainties across the World Convergent?," Economics Bulletin, AccessEcon, vol. 40(1), pages 855-862.
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    More about this item

    Keywords

    Uncertainty spillover; Macroeconomic uncertainty; US states; Bayesian graphical structural VAR;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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