Search Results for author: Benjamin Golub

Found 9 papers, 0 papers with code

Equity Pay In Networked Teams

no code implementations28 Aug 2023 Krishna Dasaratha, Benjamin Golub, Anant Shah

A group of agents each exert effort to produce a joint output, with the complementarities between their efforts represented by a (weighted) network.

On the Difficulty of Characterizing Network Formation with Endogenous Behavior

no code implementations12 Feb 2023 Benjamin Golub, Yu-Chi Hsieh, Evan Sadler

114:1-10) studies a model in which a network is strategically formed and then agents play a linear best-response investment game in it.

Math

Taxes and Market Power: A Principal Components Approach

no code implementations15 Dec 2021 Andrea Galeotti, Benjamin Golub, Sanjeev Goyal, Eduard Talamàs, Omer Tamuz

The Pigouvian leverage of the system -- the gain in consumer surplus achievable by an optimal tax scheme -- depends only on the dispersion of the eigenvalues of the matrix of strategic interactions.

A Network Approach to Public Goods: A Short Summary

no code implementations9 Jul 2021 Matthew Elliott, Benjamin Golub

Suppose agents can exert costly effort that creates nonrival, heterogeneous benefits for each other.

Games on Endogenous Networks

no code implementations2 Feb 2021 Evan Sadler, Benjamin Golub

We study network games in which players choose both the partners with whom they associate and an action level (e. g., effort) that creates spillovers for those partners.

Expectations, Networks, and Conventions

no code implementations29 Sep 2020 Benjamin Golub, Stephen Morris

In coordination games and speculative over-the-counter financial markets, solutions depend on higher-order average expectations: agents' expectations about what counterparties, on average, expect their counterparties to think, etc.

Supply Network Formation and Fragility

no code implementations12 Jan 2020 Matthew Elliott, Benjamin Golub, Matthew V. Leduc

We show that supply networks of intermediate productivity are fragile in equilibrium, even though this is always inefficient.

Learning from Neighbors about a Changing State

no code implementations6 Jan 2018 Krishna Dasaratha, Benjamin Golub, Nir Hak

The dynamics thus parallel those of the tractable DeGroot model of learning in networks, but arise as an equilibrium outcome rather than a behavioral assumption.

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