Graph theory-based network analysis of regional uncertainties of the US economy
| dc.contributor.author | Gupta, Rangan | |
| dc.contributor.author | Lau, Chi-Keung (Marco) | |
| dc.contributor.author | Sheng, Xin | |
| dc.contributor.email | rangan.gupta@up.ac.za | en_ZA |
| dc.date.accessioned | 2019-11-18T10:34:22Z | |
| dc.date.issued | 2020-02 | |
| dc.description.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. | en_ZA |
| dc.description.department | Economics | en_ZA |
| dc.description.embargo | 2021-02-15 | |
| dc.description.librarian | hj2019 | en_ZA |
| dc.description.uri | http://www.elsevier.com/locate/physa | en_ZA |
| dc.identifier.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. | en_ZA |
| dc.identifier.issn | 0378-4371 (print) | |
| dc.identifier.issn | 1873-2119 (online) | |
| dc.identifier.other | 10.1016/j.physa.2019.123064 | |
| dc.identifier.uri | http://hdl.handle.net/2263/72332 | |
| dc.language.iso | en | en_ZA |
| dc.publisher | Elsevier | en_ZA |
| dc.rights | © 2019 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Physica A: Statistical Mechanics and its Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Physica A: Statistical Mechanics and its Applications, vol. 540, art. 123064, pp. 1-11, 2020. doi : 10.1016/j.physa.2019.123064. | en_ZA |
| dc.subject | Bayesian graphical vector autoregressive (BGVAR) | en_ZA |
| dc.subject | Uncertainty spillover | en_ZA |
| dc.subject | Macroeconomic uncertainty | en_ZA |
| dc.subject | United States (US) | en_ZA |
| dc.subject | Uncertainty analysis | en_ZA |
| dc.subject | US economy | en_ZA |
| dc.subject | Transmission mechanisms | en_ZA |
| dc.subject | Time varying | en_ZA |
| dc.subject | Policy implications | en_ZA |
| dc.subject | Causal relationships | en_ZA |
| dc.subject | Value engineering | en_ZA |
| dc.subject | Public policy | en_ZA |
| dc.subject | Graph theory | en_ZA |
| dc.title | Graph theory-based network analysis of regional uncertainties of the US economy | en_ZA |
| dc.type | Postprint Article | en_ZA |