no code implementations • 13 Jul 2023 • Amandeep Singh, Ye Liu, Hema Yoganarasimhan
We demonstrate how non-parametric estimators like neural nets can easily approximate such functionals and overcome the curse of dimensionality that is inherent in the non-parametric estimation of choice functions.
no code implementations • 2 Aug 2022 • Ebrahim Barzegary, Hema Yoganarasimhan
In this paper, we present a semi-parametric formulation of dynamic discrete choice models that incorporates a high-dimensional set of state variables, in addition to the standard variables used in a parametric utility function.
no code implementations • 24 Jun 2020 • Hema Yoganarasimhan, Ebrahim Barzegary, Abhishek Pani
We examine how trial length affect users' responsiveness, and seek to quantify the gains from personalizing the length of the free trial promotions.