no code implementations • 19 Jan 2024 • Sida Peng, Wojciech Swiatek, Allen Gao, Paul Cullivan, Haoge Chang
In recent years, generative AI has undergone major advancements, demonstrating significant promise in augmenting human productivity.
no code implementations • 12 Nov 2023 • Haoge Chang
This paper considers the estimation of treatment effects in randomized experiments with complex experimental designs, including cases with interference between units.
no code implementations • 4 May 2022 • Haoge Chang, Yusuke Narita, Kota Saito
We obtain a necessary and sufficient condition under which random-coefficient discrete choice models, such as mixed-logit models, are rich enough to approximate any nonparametric random utility models arbitrarily well across choice sets.