![]() ![]() ![]() Finally, I demonstrate the usefulness of the estimator in an application to a gravity model for import/export relationships across countries.ġ056. As an example, I implement specification tests for dependence across dyads, such as reciprocity or transitivity. I also show how the jackknife can be used to bias-correct fixed effect averages over functions that depend on multiple nodes, e.g. Additionally, since the jackknife estimates all parameters in the model, including fixed effects, it allows researchers to construct estimates of average effects and counterfactual outcomes. In contrast to previous proposals, the jackknife approach is easily adaptable to different models and allows for non-binary outcome variables. ![]() I develop a jackknife bias correction to deal with the incidental parameters problem that arises from fixed effect estimation of the model. Hughes (Boston College), " Estimating Nonlinear Network Data Models with Fixed Effects", (11/2021 PDF)Ībstract: This paper considers estimation of a directed network model in which outcomes are driven by dyad-specific variables (such as measures of homophily) as well as unobserved agent-specific parameters that capture degree heterogeneity. ![]()
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