Alumni

Dongwoo Kim

Simon Fraser University

Dongwoo Kim is a PhD student studying Economics at the University College London and the Centre for Microdata Methods and Practice (CeMMap.) His fields of interest are microeconometric theory and its applications, particularly focusing on nonparametric (and/or incomplete) models for discrete outcomes, partial identification, and statistical inference.

Selected Publications

Vaccination strategies and transmission of COVID-19: evidence across leading countries

Vaccination has been perceived as a key to reaching “herd immunity” in the current COVID-19 pandemic. […]

Dongwoo Kim, Young Jun Lee
20 October 2021 | CWP38/21
IV methods for Tobit models

This paper studies models of processes generating censored outcomes with endogenous explanatory variables and instrumental variable […]

Andrew Chesher, Dongwoo Kim, Adam Rosen
28 June 2021 | CWP26/21
Powerful t-tests in the presence of nonclassical measurement error

This paper proposes a powerful alternative to the t-test in linear regressions when a regressor is […]

Dongwoo Kim, Daniel Wilhelm
9 April 2021 | CWP18/21

Previous version

Powerful t-Tests in the presence of nonclassical measurement error
Dongwoo Kim, Daniel Wilhelm
11 December 2017 | CWP57/17
An Adaptive Test of Stochastic Monotonicity

We propose a new nonparametric test of stochastic monotonicity which adapts to the unknown smoothness of […]

Denis Chetverikov, Daniel Wilhelm, Dongwoo Kim
4 May 2020 | CWP17/20

Previous version

An adaptive test of stochastic monotonicity
Denis Chetverikov, Daniel Wilhelm, Dongwoo Kim
15 October 2019 | CWP49/19
An adaptive test of stochastic monotonicity

We propose a new nonparametric test of stochastic monotonicity which adapts to the unknown smoothness of […]

Denis Chetverikov, Daniel Wilhelm, Dongwoo Kim
15 October 2019 | CWP49/19

Latest version

An Adaptive Test of Stochastic Monotonicity
Denis Chetverikov, Daniel Wilhelm, Dongwoo Kim
4 May 2020 | CWP17/20

Previous version

An adaptive test of stochastic monotonicity
Denis Chetverikov, Daniel Wilhelm, Dongwoo Kim
3 April 2018 | CWP24/18
An adaptive test of stochastic monotonicity

We propose a new nonparametric test of stochastic monotonicity which adapts to the unknown smoothness of […]

Denis Chetverikov, Daniel Wilhelm, Dongwoo Kim
3 April 2018 | CWP24/18

Latest version

An adaptive test of stochastic monotonicity
Denis Chetverikov, Daniel Wilhelm, Dongwoo Kim
15 October 2019 | CWP49/19
Powerful t-Tests in the presence of nonclassical measurement error

This paper proposes a powerful alternative to the t-test in linear regressions when a regressor is […]

Dongwoo Kim, Daniel Wilhelm
11 December 2017 | CWP57/17
Nonparametric instrumental variable estimation

This paper introduces Stata commands [R] npivreg and [R] npivregcv, which implement nonparametric instrumental variable (NPIV) […]

Daniel Wilhelm, Denis Chetverikov, Dongwoo Kim
30 October 2017 | CWP47/17