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.

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Selected Publications

Working Paper
Inference for rank-rank regressions

Slope coefficients in rank-rank regressions are popular measures of intergenerational mobility. In this paper, we first […]

Denis Chetverikov, Daniel Wilhelm
28 May 2024 | CWP11/24

Previous version

Inference for rank-rank regressions
Denis Chetverikov, Daniel Wilhelm
2 November 2023 | CWP23/23
Inference for rank-rank regressions

Slope coefficients in rank-rank regressions are popular measures of intergenerational mobility, for instance in regressions of […]

Denis Chetverikov, Daniel Wilhelm
2 November 2023 | CWP23/23
Powerful t-tests in the presence of nonclassical measurement error

This paper proposes a powerful alternative to the t-test of the null hypothesis that a coefficient […]

Dongwoo Kim, Daniel Wilhelm
2 November 2023 | CWP22/23

Previous version

Powerful t-tests in the presence of nonclassical measurement error
Dongwoo Kim, Daniel Wilhelm
9 April 2021 | CWP18/21
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, Azeem M. Shaikh, Daniel Wilhelm
26 January 2023 | CWP03/23

Previous version

Inference for ranks with applications to mobility across neighbourhoods and academic achievement across countries
Magne Mogstad, Joseph P. Romano, Azeem M. Shaikh, Daniel Wilhelm
17 January 2022 | CWP04/22
Statistical uncertainty in the ranking of journals and universities

Economists are obsessed with rankings of institutions, journals, or scholars according to the value of some […]

Magne Mogstad, Joseph P. Romano, Azeem M. Shaikh, Daniel Wilhelm
14 February 2022 | CWP07/22
Inference for ranks with applications to mobility across neighbourhoods 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, Azeem M. Shaikh, Daniel Wilhelm
17 January 2022 | CWP04/22
Finite- and large-sample inference for ranks using multinomial data with an application to ranking political parties

It is common to rank different categories by means of preferences that are revealed through data […]

Sergei Bazylik, Magne Mogstad, Joseph P. Romano, Azeem M. Shaikh, Daniel Wilhelm
18 November 2021 | CWP40/21
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
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, Azeem M. Shaikh, Daniel Wilhelm
9 April 2021 | CWP17/21

Previous version

Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries
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
4 May 2020 | CWP17/20

Previous version

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