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20122023
most citedUniform Asymptotics for Nonparametric Quantile Regression with an Application to Testing Monotonicity

4 citations · 5 across the 3 of their papers we have counts for

collaborators

7 papers

econ.EM2023★ 1 cited

PySDTest: a Python/Stata Package for Stochastic Dominance Tests

Kyungho Lee, Yoon-Jae Whang

We introduce PySDTest, a Python/Stata package for statistical tests of stochastic dominance. PySDTest implements various testing procedures such as Barrett and Donald (2003), Linto…

econ.EM2022

Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation

Ruofan Xu, Jiti Gao, Tatsushi Oka +1

We propose a quantile random-coefficient regression with interactive fixed effects to study the effects of group-level policies that are heterogeneous across individuals. Our appro…

stat.ME2016

Doubly Robust Uniform Confidence Band for the Conditional Average Treatment Effect Function

Sokbae Lee, Ryo Okui, Yoon-Jae Whang

In this paper, we propose a doubly robust method to present the heterogeneity of the average treatment effect with respect to observed covariates of interest. We consider a situati…

math.ST2015★ 4 cited

Uniform Asymptotics for Nonparametric Quantile Regression with an Application to Testing Monotonicity

Sokbae Lee, Kyungchul Song, Yoon-Jae Whang

In this paper, we establish a uniform error rate of a Bahadur representation for local polynomial estimators of quantile regression functions. The error rate is uniform over a rang…

math.ST2014

The Cross-Quantilogram: Measuring Quantile Dependence and Testing Directional Predictability between Time Series

Heejoon Han, Oliver Linton, Tatsushi Oka +1

This paper proposes the cross-quantilogram to measure the quantile dependence between two time series. We apply it to test the hypothesis that one time series has no directional pr…

math.ST2013

Testing for a General Class of Functional Inequalities

Sokbae Lee, Kyungchul Song, Yoon-Jae Whang

In this paper, we propose a general method for testing inequality restrictions on nonparametric functions. Our framework includes many nonparametric testing problems in a unified f…