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Karsten Reichold

TU Dortmund University (from arXiv:2204.01373, 2022) · ORCID · OpenAlex

5 papers in scope · 2 published · 3 on the econ.EM arXiv · 8 citations · h-index 2 (over the papers listed here)

Related authors

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

  1. Yeonwoo Rho
  2. Karsten Schweikert
  3. Carsten Jentsch
  4. Zhentao Shi
  5. Yuning Li
  6. Ji Hyung Lee
  7. Li Yu-ning
  8. Vadim Gorin
  9. Jia Chen
  10. Etiënne Wijler
  11. Chen Jia
  12. Bin Peng
  13. Ziwei Mei
  14. Degui Li
  15. Anna Bykhovskaya
  16. Xiaofeng Shao
  17. Jean-Yves Pitarakis
  18. Stephan Smeekes
  19. Oliver Linton
  20. Jiti Gao

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

(3 of 5)

Beyond the Oracle Property: Adaptive LASSO in Cointegrating Regressions with Local-to-Unity Regressors
working paper2025 · arXiv
with Ulrike Schneider
Paper profile arXiv arXiv:2510.07204
A residual‐based nonparametric variance ratio no‐cointegration test
published2024 · Journal of Time Series Analysis
Journal of Time Series Analysis
Bootstrap Inference in Cointegrating Regressions: Traditional and Self-Normalized Test Statistics
published2023 · Journal of Business and Economic Statistics · 5 citations
with Carsten Jentsch
Journal of Business and Economic Statistics
A Residuals-Based Nonparametric Variance Ratio Test for Cointegration
working paper2022 · arXiv
Paper profile arXiv arXiv:2211.06288
A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions
working paper2022 · arXiv · 3 citations
with Carsten Jentsch
Paper profile arXiv arXiv:2204.01373

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.