A model of inter-organizational network formation
Shweta Gaonkar, Angelo Mele

TL;DR
This paper introduces an equilibrium model of inter-organizational network formation using a strategic game framework, estimating payoffs with Bayesian methods, and applying it to venture capital co-investment networks to analyze effects of shocks.
Contribution
It develops a novel equilibrium framework for network formation, characterizes networks as ERGMs, and demonstrates how to interpret economic factors and simulate policy impacts.
Findings
Firms prefer forming ties with similar firms and rely on joint partners.
Network density and clustering increase with firm entry and regulatory shocks.
The approach enables economic interpretation and policy simulation of network dynamics.
Abstract
How do inter-organizational networks emerge? Accounting for interdependence among ties while studying tie formation is one of the key challenges in this area of research. We address this challenge using an equilibrium framework where firms' decisions to form links with other firms are modeled as a strategic game. In this game, firms weigh the costs and benefits of establishing a relationship with other firms and form ties if their net payoffs are positive. We characterize the equilibrium networks as exponential random graphs (ERGM), and we estimate the firms' payoffs using a Bayesian approach. To demonstrate the usefulness of our approach, we apply the framework to a co-investment network of venture capital firms in the medical device industry. The equilibrium framework allows researchers to draw economic interpretation from parameter estimates of the ERGM Model. We learn that firms…
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