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20192022
most citedIdentification and Estimation of Weakly Separable Models Without Monotonicity

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

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.EM2022

Parallel Trends and Dynamic Choices

Philip Marx, Elie Tamer, Xun Tang

Difference-in-differences is a common method for estimating treatment effects, and the parallel trends condition is its main identifying assumption: the trend in mean untreated out…

econ.EM2020

Testable Implications of Multiple Equilibria in Discrete Games with Correlated Types

Aureo de Paula, Xun Tang

We study testable implications of multiple equilibria in discrete games with incomplete information. Unlike de Paula and Tang (2012), we allow the players' private signals to be co…

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★ 2 cited

Estimating Unobserved Individual Heterogeneity Using Pairwise Comparisons

Elena Krasnokutskaya, Kyungchul Song, Xun Tang

We propose a new method for studying environments with unobserved individual heterogeneity. Based on model-implied pairwise inequalities, the method classifies individuals in the s…