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Jannis Kueck

Heinrich Heine University Düsseldorf (from arXiv:2601.05728, 2026) · ORCID · OpenAlex

12 papers in scope · 5 published · 10 on the econ.EM arXiv · 35 citations · h-index 4 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Martin Huber
  2. Hannes Wallimann
  3. David Imhof
  4. Victor Chernozhukov
  5. Martin Spindler
  6. Philipp Bach
  7. Nicolas Apfel
  8. Lukáš Lafférs
  9. Sven Klaaßen
  10. Christian Hansen
  11. Ana Armendariz
  12. Kevin Kloiber
  13. Mara Mattes
  14. Alexandra Mayn
  15. Jaime Sevilla
  16. Sofiia Dolgikh
  17. Julia Hatamyar
  18. Lucas Carvalho Gomes
  19. Alexey Zaytsev
  20. Michela Bia

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(10 of 12)

Automatic debiased machine learning and sensitivity analysis for sample selection models
working paper2026 · arXiv
with Jakob Bjelac, Victor Chernozhukov, Phil-Adrian Klotz, Theresa M. A. Schmitz
Paper profile arXiv arXiv:2601.08643
Learning and Testing Exposure Mappings of Interference using Graph Convolutional Autoencoder
working paper2026 · arXiv
with Martin Huber, Mara Mattes
Paper profile arXiv arXiv:2601.05728
Sensitivity Analysis for Treatment Effects in Difference-in-Differences Models using Riesz Representation
working paper2025 · arXiv
with Philipp Bach, Sven Klaaßen, Mara Mattes, Martin Spindler
Paper profile arXiv arXiv:2510.09064
Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score-Based Estimators
working paper2025 · arXiv
with Sven Klaaßen, Jan Rabenseifner, Philipp Bach
Paper profile arXiv arXiv:2503.17290
Estimation and uniform inference in sparse high-dimensional additive models
published2025 · Journal of Econometrics · 5 citations · first circulated 2020
with Philipp Bach, Sven Klaaßen, Martin Spindler
Paper profile Journal of Econometrics arXiv:2004.01623
Collusion Detection with Graph Neural Networks
working paper2024 · arXiv
with Lucas Carvalho Gomes, Mara Mattes, Martin Spindler, Alexey Zaytsev
Paper profile arXiv arXiv:2410.07091
Learning control variables and instruments for causal analysis in observational data
working paper2024 · arXiv · 1 citations
with Nicolas Apfel, Julia Hatamyar, Martin Huber
Paper profile arXiv arXiv:2407.04448
Using Double Machine Learning to Understand Nonresponse in the Recruitment of a Mixed-Mode Online Panel
published2022 · Social Science Computer Review · 8 citations
with Barbara Felderer, Martin Spindler
Social Science Computer Review
Uniform inference in high-dimensional Gaussian graphical models
published2022 · Biometrika · 5 citations · first circulated 2018
with Sven Klaaßen, Mark Spindler, Victor Chernozhukov, Jannis Kück, Martin Spindler
Paper profile Biometrika arXiv:1808.10532
Estimation and inference of treatment effects with L2-boosting in high-dimensional settings
published2022 · Journal of Econometrics · 12 citations · first circulated 2017
with Ye Luo, Martin Spindler, Zigan Wang
Paper profile Journal of Econometrics arXiv:1801.00364
Transformation Models in High Dimensions
published2021 · Journal of Business and Economic Statistics · 4 citations
with Sven Klaaßen, Martin Spindler
Journal of Business and Economic Statistics
Big Data meets Causal Survey Research: Understanding Nonresponse in the Recruitment of a Mixed-mode Online Panel
working paper2021 · arXiv
with Barbara Felderer, Martin Spindler
Paper profile arXiv arXiv:2102.08994

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.