Research Staff

Daniel Wilhelm

cemmap and UCL

Daniel Wilhelm joined UCL and the Centre for Microdata Methods and Practice (cemmap) in summer 2012 after finishing his PhD at the University of Chicago. His research interests range broadly in econometric theory and applied econometrics.

Selected Publications

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
Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries

It is often desired to rank different populations according to the value of some feature of […]

Magne Mogstad, Joseph P. Romano, Daniel Wilhelm, Azeem M. Shaikh
16 March 2020 | CWP10/20
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
Testing for the presence of measurement error in Stata

In this paper, we describe how to test for the presence of measurement error in explanatory […]

Young Jun Lee, Daniel Wilhelm
23 September 2019 | CWP47/19

Previous version

Testing for the presence of measurement error in Stata
Young Jun Lee, Daniel Wilhelm
28 August 2018 | CWP51/18
Testing for the presence of measurement error

This paper proposes a simple nonparametric test of the hypothesis of no measurement error in explanatory […]

Daniel Wilhelm
23 September 2019 | CWP48/19

Previous version

Testing for the presence of measurement error
Daniel Wilhelm
19 July 2018 | CWP45/18
Optimal Data Collection for Randomized Control Trials

In a randomized control trial, the precision of an average treatment effect estimator and the power […]

Pedro Carneiro, Sokbae (Simon) Lee, Daniel Wilhelm
2 May 2019 | CWP21/19

Previous version

Optimal data collection for randomized control trials
Pedro Carneiro, Sokbae (Simon) Lee, Daniel Wilhelm
23 October 2017 | CWP45/17
Testing for the presence of measurement error in Stata

In this paper, we describe how to test for the presence of measurement error in explanatory […]

Young Jun Lee, Daniel Wilhelm
28 August 2018 | CWP51/18

Latest version

Testing for the presence of measurement error in Stata
Young Jun Lee, Daniel Wilhelm
23 September 2019 | CWP47/19
Testing for the presence of measurement error

This paper proposes a simple nonparametric test of the hypothesis of no measurement error in explanatory […]

Daniel Wilhelm
19 July 2018 | CWP45/18

Latest version

Testing for the presence of measurement error
Daniel Wilhelm
23 September 2019 | CWP48/19
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
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