Benjamin Golub
Biographic Data
| ID | 2096900 |
|---|---|
| NAME | Benjamin Golub |
| GIVEN NAMES | Benjamin |
| FAMILY NAME | Golub |
| SIGNATURE | GOLUB B |
| AFFILIATIONS | Northwestern University |
| ORCID | 0009-0002-6743-8018 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 56 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
On the difficulty of characterizing network formation with endogenous behavior
Corporate Culture and Organizational Fragility
Supplementary Appendix for Supply Network Formation and Fragility
Learning from Neighbours about a Changing State
Agents learn about a changing state using private signals and their neighbours’ past estimates of the state. We present a model in which Bayesian agents in equilibrium use neighbours’ estimates simply by taking weighted sums with time-invariant weights. The dynamics thus parallel those of the tractable DeGroot model of learning in networks, but arise as an equilibrium outcome rather than a behavioural assumption. We examine whether information ag…
Supply Network Formation and Fragility
We model the production of complex goods in a large supply network. Each firm sources several essential inputs through relationships with other firms. Individual supply relationships are at risk of idiosyncratic failure, which threatens to disrupt production. To protect against this, firms multisource inputs and strategically invest to make relationships stronger, trading off the cost of investment against the benefits of increased robustness. A …
A Network Approach to Public Goods
Suppose that agents can exert costly effort that creates nonrival, heterogeneous benefits for each other. At each possible outcome, a weighted, directed network describing marginal externalities is defined. We show that Pareto efficient outcomes are those at which the largest eigenvalue of the network is 1. An important set of efficient solutions—Lindahl outcomes—are characterized by contributions being proportional to agents' eigenvector central…
Higher-Order Expectations
Learning in Social Networks
Networked Markets and Relational Contracts
Learning in Social Networks
This survey covers models of how agents update behaviors and beliefs using information conveyed through social connections. The chapter begins with sequential social learning models, in which each agent makes a decision once and for all after observing a subset of prior decisions; the discussion is organized around the concepts of diffusion and aggregation of information. Next, the chapter presents the DeGroot framework of average-based repeated …
How Homophily Affects the Speed of Learning and Best-Response Dynamics
We examine how the speed of learning and best-response processes depends on homophily: the tendency of agents to associate disproportionately with those having similar traits. When agents' beliefs or behaviors are developed by averaging what they see among their neighbors, then convergence to a consensus is slowed by the presence of homophily but is not influenced by network density (in contrast to other network processes that depend on shortest …
How Homophily Affects the Speed of Learning and Best Response Dynamics
Naive Learning in Social Networks: Convergence, Influence and Wisdom of Crowds
How Homophily Affects the Speed of Learning and Best-Response Dynamics
We examine how the speed of learning and best-response processes depends on homophily: the tendency of agents to associate disproportionately with those having similar traits. When agents' beliefs or behaviors are developed by averaging what they see among their neighbors, then convergence to a consensus is slowed by the presence of homophily but is not influenced by network density (in contrast to other network processes that depend on shortest …
A Network Approach to Public Goods
Suppose that agents can exert costly effort that creates nonrival, heterogeneous benefits for each other. At each possible outcome, a weighted, directed network describing marginal externalities is defined. We show that Pareto efficient outcomes are those at which the largest eigenvalue of the network is 1. An important set of efficient solutions—Lindahl outcomes—are characterized by contributions being proportional to agents' eigenvector central…
Naive Learning in Social Networks: Convergence, Influence and Wisdom of Crowds
How Homophily Affects the Speed of Learning and Best Response Dynamics
How Homophily Affects the Speed of Learning and Best-Response Dynamics
We examine how the speed of learning and best-response processes depends on homophily: the tendency of agents to associate disproportionately with those having similar traits. When agents' beliefs or behaviors are developed by averaging what they see among their neighbors, then convergence to a consensus is slowed by the presence of homophily but is not influenced by network density (in contrast to other network processes that depend on shortest …
Learning in Social Networks
This survey covers models of how agents update behaviors and beliefs using information conveyed through social connections. The chapter begins with sequential social learning models, in which each agent makes a decision once and for all after observing a subset of prior decisions; the discussion is organized around the concepts of diffusion and aggregation of information. Next, the chapter presents the DeGroot framework of average-based repeated …
Higher-Order Expectations
Learning in Social Networks
Networked Markets and Relational Contracts
A Network Approach to Public Goods
Suppose that agents can exert costly effort that creates nonrival, heterogeneous benefits for each other. At each possible outcome, a weighted, directed network describing marginal externalities is defined. We show that Pareto efficient outcomes are those at which the largest eigenvalue of the network is 1. An important set of efficient solutions—Lindahl outcomes—are characterized by contributions being proportional to agents' eigenvector central…
Supply Network Formation and Fragility
We model the production of complex goods in a large supply network. Each firm sources several essential inputs through relationships with other firms. Individual supply relationships are at risk of idiosyncratic failure, which threatens to disrupt production. To protect against this, firms multisource inputs and strategically invest to make relationships stronger, trading off the cost of investment against the benefits of increased robustness. A …
Learning from Neighbours about a Changing State
Agents learn about a changing state using private signals and their neighbours’ past estimates of the state. We present a model in which Bayesian agents in equilibrium use neighbours’ estimates simply by taking weighted sums with time-invariant weights. The dynamics thus parallel those of the tractable DeGroot model of learning in networks, but arise as an equilibrium outcome rather than a behavioural assumption. We examine whether information ag…
Corporate Culture and Organizational Fragility
Supplementary Appendix for Supply Network Formation and Fragility
On the difficulty of characterizing network formation with endogenous behavior
Computer Science (9 works) · Economics (8 works) · Game Theory and Applications (8 works) · Opinion Dynamics and Social Influence (7 works) · Artificial Intelligence (5 works) · Mathematics (5 works) · Economic theories and models (4 works) · Microeconomics (4 works) · Complex Network Analysis Techniques (3 works) · Econometrics (3 works)