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Front Cover -- The Econometric Analysis of Network Data -- Copyright -- Contents -- Preface -- List of contributors -- 1 Introduction -- Paths, distance and diameter -- Measuring homophily -- Measuring agent centrality -- Degree centrality -- Re nements of degree centrality -- PageRank -- PageRank and the social multiplier -- Katz-Bonacich centrality -- Outdegree-based centrality measures -- References -- 2 Dyadic regression -- 2.1 Population and sampling framework -- Sampling assumption -- 2.2 Composite likelihood -- 2.3 Limit distribution -- Variance calculation -- Variance estimation -- Limit distribution -- 2.4 Empirical illustration -- Monte Carlo experiment -- 2.5 Further reading -- 2.A Derivations -- References -- 3 Strategic network formation -- 3.1 Basic ingredients of the environment -- 3.2 Relation to empirical games -- 3.3 Network formation -- 3.3.1 Iterative network formation -- 3.3.2 Non-iterative network formation -- 3.4 Concluding remarks -- References -- 4 Testing for externalities in network formation using simulation -- A strategic network formation game with transfers -- Test formulation -- Similarity of the test -- Choosing the test statistic -- Simulating undirected networks with xed degree -- The algorithm -- Importance sampling -- Illustration using the Nyakatoke network -- References -- 5 Econometric analysis of bipartite networks -- 5.1 Introduction -- Scope of the paper and outline -- 5.2 Bipartite network models: the linear case -- 5.2.1 Bipartite networks -- Linear model -- Example 1: matched employer-employee data -- Example 2: buyer/seller network -- 5.2.2 Fixed effects: the AKM estimator -- Statistical properties -- 5.2.3 Random-effect approaches -- 5.2.3.1 Conditionally independent random effects -- 5.2.3.2 Random effects and network formation -- Illustration on simulated data -- 5.2.3.3 One-sided random effects.