Strategic Interaction and Networks
By Yann Bramoullé, Rachel Kranton, M. D'Amours. 2010
530 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/60fca57bca813e06d2bdf7acb1b970bfce3e858d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Management Science and Operations Research
- O. Baetz
- Lacra Pavel
- Xiaodong Liu
- Itay P. Fainmesser
- Andrea Galeotti
- Yves Zenou
- Matthew A. Masten
- Michael D. König
In Statistical and Nonlinear Physics
Citations in the corpus
- A Passivity-Based Approach to Nash Equilibrium Seeking Over Networks (2017, background): “[29] draw attention to the problem of “who interacts with whom” in a network and to the importance of communication with neighboring players.”
- Random Coefficients on Endogenous Variables in Simultaneous Equations Models (2014, background): “Social interaction models for household behavior have a long history within labor and family economics (see Browning, Chiappori, and Weiss 2014 for a survey). Recently, several papers have studied social interactions between ‘ego and alter’ pairs of people, or between pairs of ‘best friends’, studyi”
- Social Activity and Network Formation (2015, background): “…networks, where delinquents learn how to become a criminal—that is, to identify opportunities and adopt behaviors—through their social ties.1 Similarly, there is strong evidence for strategic complementarity in the learning effort of adolescent friends (see, e.g., Calvó-Armengol et al. 2009).”
- Pricing Network Effects (2016, background): “that induce linear best responses; see Bramoullé et al. (2014) for a discussion.”
- R&D Networks: Theory, Empirics, and Policy Implications (2019, result): “This result generalizes those of Ballester, Calvó-Armengol, and Zenou (2006), Calvó-Armengol, Patacchini, and Zenou (2009), and Bramoullé, Kranton, and D’Amours (2014) to allow agents to make multivariate choices on R&D effort and output levels in the presence of both network effects and…”