most citedA jackknife bias correction for nonlinear network data models with fixed effects

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

econ.EM2022★ 1 cited

Efficient Bias Correction for Cross-section and Panel Data

Jinyong Hahn, David W. Hughes, Guido Kuersteiner +1

Bias correction can often improve the finite sample performance of estimators. We show that the choice of bias correction method has no effect on the higher-order variance of semip…

econ.EM2022★ 2 cited

A jackknife bias correction for nonlinear network data models with fixed effects

David W. Hughes

I introduce a new method for bias correction of dyadic models with agent-specific fixed effects, including the dyadic link formation model with homophily and degree heterogeneity.…