Econometrics of Network Data
Computing Peer Averages
Printing the Average Expected Outcomes for Count Data Models with Soci...
Removing Identifiers with NA from Adjacency Matrices Optimally
Estimating Linear-in-mean Models with Social Interactions
Estimating Tobit Models with Social Interactions
Counterfactual Analyses with Count Data Models and Social Interactions
Simulating Count Data Models with Social Interactions Under Rational E...
Simulating Network Data
Simulating Data from Linear-in-Mean Models with Social Interactions
Simulating Data from Tobit Models with Social Interactions
Summary for the Estimation of Count Data Models with Social Interactio...
Summary for the Estimation of Linear-in-mean Models with Social Intera...
Summary for the Estimation of Tobit Models with Social Interactions
Creating Objects for Network Models
The CDatanet Package
Estimating Count Data Models with Social Interactions under Rational E...
Converting Data between Directed Network Models and Symmetric Network ...
Estimating Network Formation Models with Degree Heterogeneity: the Fix...
Estimating Network Formation Models with Degree Heterogeneity: the Bay...
Marginal Effects for Count Data Models and Tobit Models with Social In...
Simulating and estimating peer effect models and network formation models. The class of peer effect models includes linear-in-means models (Lee, 2004; <doi:10.1111/j.1468-0262.2004.00558.x>), Tobit models (Xu and Lee, 2015; <doi:10.1016/j.jeconom.2015.05.004>), and discrete numerical data models (Houndetoungan, 2025; <doi:10.48550/arXiv.2405.17290>). The network formation models include pair-wise regressions with degree heterogeneity (Graham, 2017; <doi:10.3982/ECTA12679>) and exponential random graph models (Mele, 2017; <doi:10.3982/ECTA10400>).
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