Christian Ghiglino

Host(s)

Matthew Elliott

Sanjeev Goyal

JI Research Theme
networks

Economic theory, growth, networks, social identity, wealth inequality, social mobility and fiscal policy

Experimental Evidence on Group Size Effects in Network Formation Games

This paper presents experimental evidence on games where individuals can unilaterally decide on their links with each other. Linking decisions give rise to directed graphs. We consider two classes of situations: one, benefits flow along the direction of the network paths (one-way flow), and two, when the benefits flow on network paths without regard to the direction of links (two-way flow).

Social Structure, State, and Economic Activity

Most societies in the world contain strong group identities and the culture supporting these groups is highly persistent. This persistence in turn gives rise to a practical problem: how do and should societies with strong group identities organize themselves for exchange and public good provision? In this paper, we develop a theoretical framework – with social structure characterized by number and size of groups as well as quality of ties between them – that allows us to study, normatively and positively, the relationship between social structure, state capacity, and economic activity.

Status Consumption in Networks: A Reference Dependent Approach

We introduce loss aversion into a model of conspicuous consumption in networks. Agents allocate heterogeneous incomes between a conventional good and a status good. They interact over a connected network and compare their status consumption to their neighbors’ average consumption. We find that aversion to lying below the social reference point has a profound impact. If loss aversion is large relative to income heterogeneity, a continuum of conformist Nash equilibria emerges.

Interconnected Conflict

We study a model of conflict with multiple battlefields and the possibility of investments spillovers between the battlefields. Results of conflicts at the individual battlefields are determined by the Tullock contest success function based on efforts assigned to a battlefield as well as efforts spilling over from the neighbouring battlefields. We characterize Nash equilibria of this model and uncover a network invariance result: equilibrium payoffs, equilibrium total expenditure, and equilibrium probabilities of winning individual battlefields are independent of the network of spillovers.

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