1 citations · 1 across the 2 of their papers we have counts for
3 papers
Data fusion for predicting long-term program impacts
Michael W. Robbins, Sebastian Bauhoff, Lane Burgette
Policymakers often require information on programs' long-term impacts that is not available when decisions are made. We demonstrate how data fusion methods may be used address the…
Balancing Higher Moments Matters for Causal Estimation: Further Context for the Results of Setodji et al. (2017)
Melody Y. Huang, Brian G. Vegetabile, Lane F. Burgette +2
We expand upon the simulation study of Setodji et al. (2017) which compared three promising balancing methods when assessing the average treatment effect on the treated for binary…
A Symmetric Prior for Multinomial Probit Models
Lane F. Burgette, David Puelz, P. Richard Hahn
Fitted probabilities from widely used Bayesian multinomial probit models can depend strongly on the choice of a base category, which is used to uniquely identify the parameters of…