activity
20192026
most citedIdentification and Estimation of Weakly Separable Models Without Monotonicity

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

econ.EM2026

Identification in Linear Quantile Panel Models

Shakeeb Khan, Elie Tamer

This paper studies identification in linear quantile panel models with unrestricted individual heterogeneity when the number of time periods is fixed and small. We impose strict ex…

econ.EM2026

Stationary Errors and Quantile Regression in Short Panels

Shakeeb Khan, Elie Tamer

This paper studies a linear panel model with an unrestricted individual effect and a time- stationary idiosyncratic disturbance. We first show that stationarity is a strong restric…

econ.EM2026

Random Set Quantile Estimation of Partially Identified Discrete Response Models

Shakeeb Khan, Tatiana Komarova, Denis Nekipelov

Semiparametric discrete choice models are widely applied in economics, yet a fundamental tension arises when covariates are discrete as regression coefficients that are point ident…

econ.EM2022

Endogeneity in Weakly Separable Models without Monotonicity

Songnian Chen, Shakeeb Khan, Xun Tang

We identify and estimate treatment effects when potential outcomes are weakly separable with a binary endogenous treatment. Vytlacil and Yildiz (2007) proposed an identification st…

econ.EM2021★ 1 cited

Estimating High Dimensional Monotone Index Models by Iterative Convex Optimization1

Shakeeb Khan, Xiaoying Lan, Elie Tamer +1

In this paper we propose new approaches to estimating large dimensional monotone index models. This class of models has been popular in the applied and theoretical econometrics lit…

econ.EM2020★ 2 cited

Identification and Estimation of Weakly Separable Models Without Monotonicity

Songnian Chen, Shakeeb Khan, Xun Tang

We study the identification and estimation of treatment effect parameters in weakly separable models. In their seminal work, Vytlacil and Yildiz (2007) showed how to identify and e…

econ.EM2019

Informational Content of Factor Structures in Simultaneous Binary Response Models

Shakeeb Khan, Arnaud Maurel, Yichong Zhang

We study the informational content of factor structures in discrete triangular systems. Factor structures have been employed in a variety of settings in cross sectional and panel d…