3 citations · 3 across the 1 of their papers we have counts for
2 papers
stat.ME2020★ 3 cited
Reducing bias in difference-in-differences models using entropy balancing
Matthew Cefalu, Brian G. Vegetabile, Michael Dworsky +2
This paper illustrates the use of entropy balancing in difference-in-differences analyses when pre-intervention outcome trends suggest a possible violation of the parallel trends a…
cs.LG2020
Deep Generative Modeling in Network Science with Applications to Public Policy Research
Gavin S. Hartnett, Raffaele Vardavas, Lawrence Baker +5
Network data is increasingly being used in quantitative, data-driven public policy research. These are typically very rich datasets that contain complex correlations and inter-depe…