10 citations · 27 across the 6 of their papers we have counts for
7 papers · 1 filter
Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts
Sukjin Han, Eric H. Schulman, Kristen Grauman +1
Many differentiated products have key attributes that are unstructured and thus high-dimensional (e.g., design, text). Instead of treating unstructured attributes as unobservables…
Comment: Individualized Treatment Rules Under Endogeneity
Sukjin, Han
This note discusses two recent studies on identification of individualized treatment rules using instrumental variables---Cui and Tchetgen Tchetgen (2020) and Qiu et al. (2020). It…
A Computational Approach to Identification of Treatment Effects for Policy Evaluation
Sukjin Han, Shenshen Yang
For counterfactual policy evaluation, it is important to ensure that treatment parameters are relevant to policies in question. This is especially challenging under unobserved hete…
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering
Sukjin Han
Dynamic treatment regimes are treatment allocations tailored to heterogeneous individuals. The optimal dynamic treatment regime is a regime that maximizes counterfactual welfare. W…
Identification in Nonparametric Models for Dynamic Treatment Effects
Sukjin Han
This paper develops a nonparametric model that represents how sequences of outcomes and treatment choices influence one another in a dynamic manner. In this setting, we are interes…
Multiple Treatments with Strategic Interaction
Jorge Balat, Sukjin Han
We develop an empirical framework to identify and estimate the effects of treatments on outcomes of interest when the treatments are the result of strategic interaction (e.g., barg…
Censored Quantile Instrumental Variable Estimation with Stata
Victor Chernozhukov, Iván Fernández-Val, Sukjin Han +1
Many applications involve a censored dependent variable and an endogenous independent variable. Chernozhukov et al. (2015) introduced a censored quantile instrumental variable esti…