Alireza Tahbaz-Salehi
Biographic Data
| ID | 4972775 |
|---|---|
| NAME | Alireza Tahbaz-Salehi |
| GIVEN NAMES | Alireza |
| FAMILY NAME | Tahbaz-Salehi |
| SIGNATURE | TAHBAZ-SALEHI A |
| AFFILIATIONS | Kellogg's (Canada) |
| ORCID | 0000-0002-6860-1836 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Supply Chain Disruptions
Exploiting the exogenous and regional nature of the Great East Japan Earthquake of 2011, this article provides a quantification of the role of input-output linkages as a mechanism for the propagation and amplification of shocks. We document that the disruption caused by the disaster propagated upstream and downstream along supply chains, affecting the direct and indirect suppliers and customers of disaster-stricken firms. Using a general equilibr…
A Theory of Non-Bayesian Social Learning
This paper studies the behavioral foundations of non-Bayesian models of learning over social networks and develops a taxonomy of conditions for information aggregation in a general framework. As our main behavioral assumption, we postulate that agents follow social learning rules that satisfy “imperfect recall,” according to which they treat the current beliefs of their neighbors as sufficient statistics for the entire history of their observatio…
Systemic Risk and Stability in Financial Networks
This paper argues that the extent of financial contagion exhibits a form of phase transition: as long as the magnitude of negative shocks affecting financial institutions are sufficiently small, a more densely connected financial network (corresponding to a more diversified pattern of interbank liabilities) enhances financial stability. However, beyond a certain point, dense interconnections serve as a mechanism for the propagation of shocks, lea…
Information Heterogeneity and the Speed of Learning in Social Networks
Non-Bayesian social learning
'Non-Bayesian Social Learning', Third Version
Non-Bayesian Social Learning, Second Version
No prominent works on this page.
Non-Bayesian Social Learning, Second Version
'Non-Bayesian Social Learning', Third Version
Non-Bayesian social learning
Information Heterogeneity and the Speed of Learning in Social Networks
Systemic Risk and Stability in Financial Networks
This paper argues that the extent of financial contagion exhibits a form of phase transition: as long as the magnitude of negative shocks affecting financial institutions are sufficiently small, a more densely connected financial network (corresponding to a more diversified pattern of interbank liabilities) enhances financial stability. However, beyond a certain point, dense interconnections serve as a mechanism for the propagation of shocks, lea…
A Theory of Non-Bayesian Social Learning
This paper studies the behavioral foundations of non-Bayesian models of learning over social networks and develops a taxonomy of conditions for information aggregation in a general framework. As our main behavioral assumption, we postulate that agents follow social learning rules that satisfy “imperfect recall,” according to which they treat the current beliefs of their neighbors as sufficient statistics for the entire history of their observatio…
Supply Chain Disruptions
Exploiting the exogenous and regional nature of the Great East Japan Earthquake of 2011, this article provides a quantification of the role of input-output linkages as a mechanism for the propagation and amplification of shocks. We document that the disruption caused by the disaster propagated upstream and downstream along supply chains, affecting the direct and indirect suppliers and customers of disaster-stricken firms. Using a general equilibr…
Computer Science (6 works) · Artificial Intelligence (5 works) · Economics (5 works) · Game Theory and Applications (5 works) · Opinion Dynamics and Social Influence (5 works) · Bayesian probability (4 works) · Complex Network Analysis Techniques (4 works) · Machine learning (4 works) · Knowledge management (3 works) · Social learning (3 works)