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I develop a dynamic heterogeneous agents model of strategic network formation, where a matching technology and preferences for same-type individuals drive the dynamics of friendship. The model converges to a unique stationary distribution that is structurally estimated using Markov Chain Monte Carlo methods and stochastic approximation techniques. I use data from the restricted version of Add Health, a representative survey of US high schools containing detailed data on the actual friendshipdoi:10.1145/1807406.1807492 dblp:conf/bqgt/Mele10 fatcat:pry7hcrwpral3lf5posp3vbbza