1 citations · 1 across the 3 of their papers we have counts for
3 papers
Inference for Network Regression Models with Community Structure
Mengjie Pan, Tyler H. McCormick, Bailey K. Fosdick
Network regression models, where the outcome comprises the valued edge in a network and the predictors are actor or dyad-level covariates, are used extensively in the social and bi…
Consistently estimating network statistics using Aggregated Relational Data
Emily Breza, Arun G. Chandrasekhar, Shane Lubold +2
Collecting complete network data is expensive, time-consuming, and often infeasible. Aggregated Relational Data (ARD), which capture information about a social network by asking a…
Using Aggregated Relational Data to feasibly identify network structure without network data
Emily Breza, Arun G. Chandrasekhar, Tyler H. McCormick +1
Social network data is often prohibitively expensive to collect, limiting empirical network research. Typical economic network mapping requires (1) enumerating a census, (2) elicit…