EconBase
← All authors

Martin Spindler

Heinrich Heine University Düsseldorf (from arXiv:2510.09064, 2025) · ORCID · OpenAlex

40 papers in scope · 25 published · 30 on the econ.EM arXiv · 981 citations · h-index 14 (over the papers listed here)

Related authors

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

  1. Victor Chernozhukov
  2. Philipp Bach
  3. Sven Klaaßen
  4. Christian Hansen
  5. Malte S. Kurz
  6. Alexandre Belloni
  7. Martin Huber
  8. Jannis Kueck
  9. Lin Jia
  10. Nils Skotara
  11. Vasilis Syrgkanis
  12. Denis Chetverikov
  13. Achim Ahrens
  14. Mark E. Schaffer
  15. Oliver Schacht
  16. Hannes Wallimann
  17. David Imhof
  18. Jan Teichert-Kluge
  19. Whitney K. Newey
  20. Thomas Wiemann

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

(25 of 40)

Sensitivity Analysis for Causal ML: A Use Case at Booking.com
working paper2025 · arXiv
with Philipp Bach, Victor Chernozhukov, Carlos Cinelli, Lin Jia, Sven Klaaßen, Nils Skotara
Paper profile arXiv arXiv:2510.09109
Sensitivity Analysis for Treatment Effects in Difference-in-Differences Models using Riesz Representation
working paper2025 · arXiv
with Philipp Bach, Sven Klaaßen, Jannis Kueck, Mara Mattes
Paper profile arXiv arXiv:2510.09064
Effect Identification and Unit Categorization in the Multi-Score Regression Discontinuity Design with Application to LED Manufacturing
working paper2025 · arXiv
with Philipp Schwarz, Oliver Schacht, Sven Klaaßen, Johannes Oberpriller
Paper profile arXiv arXiv:2508.15692
Bernstein-type inequalities and nonparametric estimation under near-epoch dependence
published2025 · Journal of Econometrics · 1 citations · first circulated 2022
with Zihao Yuan
Journal of Econometrics
Machine learning in cartel damages estimation: challenges and opportunities
published2025 · Journal of European Competition Law & Practice
with Will Carpenter, Anna Lane, Joshua Hia, Steffen Reinhold, Iain Boa
Journal of European Competition Law & Practice
Estimation and uniform inference in sparse high-dimensional additive models
published2025 · Journal of Econometrics · 5 citations · first circulated 2020
with Philipp Bach, Sven Klaaßen, Jannis Kueck
Paper profile Journal of Econometrics arXiv:2004.01623
Collusion Detection with Graph Neural Networks
working paper2024 · arXiv
with Lucas Carvalho Gomes, Jannis Kueck, Mara Mattes, Alexey Zaytsev
Paper profile arXiv arXiv:2410.07091
Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?
working paper2024 · arXiv · 2 citations
with Philipp Schwarz, Oliver Schacht, Sven Klaaßen, Daniel Grünbaum, Sebastian Imhof
Paper profile arXiv arXiv:2406.11308
Applied Causal Inference Powered by ML and AI
working paper2024 · arXiv · 36 citations
with Victor Chernozhukov, Christian Hansen, Nathan Kallus, Vasilis Syrgkanis
Paper profile arXiv arXiv:2403.02467
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study
working paper2024 · arXiv · 6 citations
with Philipp Bach, Oliver Schacht, Victor Chernozhukov, Sven Klaaßen
Paper profile arXiv arXiv:2402.04674
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
working paper2024 · arXiv · 2 citations
with Sven Klaaßen, Jan Teichert-Kluge, Philipp Bach, Victor Chernozhukov, Suhas Vijaykumar
Paper profile arXiv arXiv:2402.01785
DoubleML : An Object-Oriented Implementation of Double Machine Learning in R
published2024 · Journal of Statistical Software · 36 citations · first circulated 2021
with Philipp Bach, Malte S. Kurz, Victor Chernozhukov, Sven Klaaßen, Sven Klaassen
Paper profile Journal of Statistical Software arXiv:2103.09603 arXiv:2104.03220
Heterogeneity in the US gender wage gap
published2023 · Journal of the Royal Statistical Society Series A (Statistics in Society) · 10 citations
with Philipp Bach, Victor Chernozhukov
Journal of the Royal Statistical Society Series A (Statistics in Society)
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, Jannis Kueck
Social Science Computer Review
Uniform inference in high-dimensional Gaussian graphical models
published2022 · Biometrika · 5 citations · first circulated 2018
with Sven Klaaßen, Jannis Kueck, Mark Spindler, Victor Chernozhukov, Jannis Kück
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 Jannis Kueck, Ye Luo, Zigan Wang
Paper profile Journal of Econometrics arXiv:1801.00364
Causal mediation analysis with double machine learning
published2022 · Econometrics Journal · 15 citations
with Helmut Farbmacher, Martin Huber, Lukáš Lafférs, Henrika Langen
Paper profile Econometrics Journal arXiv:2002.12710
Sequence Embeddings Help Detect Insurance Fraud
published2022 · IEEE Access · 25 citations
with Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Evgeny Burnaev
IEEE Access
Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls
published2021 · Digital Finance · 92 citations
with Helmut Wasserbacher
Paper profile Digital Finance arXiv:2107.04851
Heterogeneous effects of poverty on attention
published2021 · Labour Economics · 11 citations
with Helmut Farbmacher, Heinrich Kögel
Labour Economics
Transformation Models in High Dimensions
published2021 · Journal of Business and Economic Statistics · 4 citations
with Sven Klaaßen, Jannis Kueck
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, Jannis Kueck
Paper profile arXiv arXiv:2102.08994
An explainable attention network for fraud detection in claims management
published2020 · Journal of Econometrics · 41 citations
with Helmut Farbmacher, Leander Löw
Journal of Econometrics
Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data
working paper2019 · arXiv
with Xi Chen, Ye Luo
Paper profile arXiv arXiv:1912.12867
Closing the U.S. gender wage gap requires understanding its heterogeneity
working paper2018 · arXiv · 20 citations
with Philipp Bach, Victor Chernozhukov
Paper profile arXiv arXiv:1812.04345
Valid Simultaneous Inference in High-Dimensional Settings (with the hdm package for R)
working paper2018 · arXiv · 23 citations
with Philipp Bach, Victor Chernozhukov
Paper profile arXiv arXiv:1809.04951
A Self-Attention Network for Hierarchical Data Structures with an Application to Claims Management
working paper2018 · arXiv
with Leander Löw, Eike Brechmann
Paper profile arXiv arXiv:1808.10543
Semiparametric count data modeling with an application to health service demand
published2017 · Econometrics and Statistics · 5 citations
with Philipp Bach, Helmut Farbmacher
Econometrics and Statistics
L 2 -Boosting for Economic Applications
published2017 · American Economic Review · 12 citations
with Ye Luo
Paper profile American Economic Review arXiv:1702.03244
High-Dimensional Metrics in R
working paper2016 · arXiv · 3 citations
with Victor Chernozhukov, C. Hansen
Paper profile arXiv arXiv:1603.01700
High-Dimensional $L_2$Boosting: Rate of Convergence
working paper2016 · arXiv · 20 citations
with Ye Luo, Jannis Kück
Paper profile arXiv arXiv:1602.08927
hdm: High-Dimensional Metrics
published2016 · The R Journal · 58 citations
with Victor Chernozhukov, C. Hansen, Christian Hansen
Paper profile The R Journal arXiv:1608.00354
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach
published2015 · Annual Review of Economics · 148 citations · first circulated 2014
with Victor Chernozhukov, Christian Hansen
Paper profile Annual Review of Economics arXiv:1501.03430
Stock market volatility: Identifying major drivers and the nature of their impact
published2015 · Journal of Banking & Finance · 122 citations
with Stefan Mittnik, Nikolay Robinzonov
Journal of Banking & Finance
Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments
published2015 · American Economic Review · 208 citations
with Victor Chernozhukov, Christian Hansen
Paper profile American Economic Review arXiv:1501.03185
Asymmetric information in (private) accident insurance
published2015 · Economics Letters · 1 citations
Economics Letters
Lasso for Instrumental Variable Selection: A Replication Study
published2015 · Journal of Applied Econometrics · 6 citations
Journal of Applied Econometrics
Econometric Methods for Testing for Asymmetric Information: A Comparison of Parametric and Nonparametric Methods with an Application to Hospital Daily Benefits
published2014 · The Geneva Risk and Insurance Review · 3 citations
The Geneva Risk and Insurance Review
Asymmetric Information in the Market for Automobile Insurance: Evidence From Germany
published2013 · Journal of Risk & Insurance · 8 citations · first circulated 2012
with Joachim Winter, Steffen Hagmayer
Journal of Risk & Insurance
Nonparametric Testing for Asymmetric Information
published2013 · Journal of Business and Economic Statistics · 33 citations
with Liangjun Su
Journal of Business and Economic Statistics

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.