Nestedness in Networks: A Theoretical Model and Some Applications

Reprint No. 2014:49

Author(s): Michael D. König, Claudio J. Tessone and Yves ZenouYear: 2014 Title: Theoretical Economics Volume (No.): 9 (3) Pages: 695–752

Nestedness in Networks: A Theoretical Model and Some Applications Michael D. König, Claudio J. Tessone and Yves Zenou

We develop a dynamic network formation model that can explain the observed nestedness in real-world networks. Links are formed on the basis of agents' centrality and have an exponentially distributed lifetime. We use stochastic stability to identify the networks to which the network formation process converges and find that they are nested split graphs. We completely determine the topological properties of the stochastically stable networks and show that they match features exhibited by real-world networks. Using four different network data sets, we empirically test our model and show that it fits well the observed networks.

König, Michael D., Claudio J. Tessone and Yves Zenou (2014), "Nestedness in Networks: A Theoretical Model and Some Applications". Theoretical Economics 9(3), 695–752.

Sick of Inequality?

An Introduction to the Relationship between Inequality and Health

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In this book Andreas Bergh, Therese Nilsson, IFN and Lund University, and Daniel Waldenström, IFN and Paris School of Economics, France, review the latest research on the relationship between inequality and health. What does inequality mean for our health? Does increasing income inequality affect outcomes such as obesity, life expectancy and subjective well-being?


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