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Henrika Langen

University of Helsinki (from arXiv:2207.04481, 2022) · ORCID · OpenAlex

5 papers in scope · 4 published · 1 on the econ.EM arXiv · 109 citations · h-index 3 (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. Sarina Joy Oberhänsli
  3. Yu-Min Yen
  4. Kentaro Kawato
  5. Zhenting Sun
  6. Shiva Prasad Kasiviswanathan
  7. Patrick Blöbaum
  8. Aaditya Ramdas
  9. Liyuan Xu
  10. Yu-Chin Hsu
  11. Hugo Bodory
  12. Nicolas Apfel
  13. Abhinandan Dalal
  14. Lukáš Lafférs
  15. Julia Hatamyar
  16. C. Hansen
  17. Arthur Gretton
  18. Andrew Ying
  19. Martin Spindler
  20. Ilya Shpitser

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

(2 of 5)

The impact of the #MeToo movement on language at court A text-based causal inference approach
published2024 · PLoS ONE · 1 citations · first circulated 2022
How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign
published2023 · PLoS ONE · 28 citations · first circulated 2022
working paper2022 · arXiv
published2022 · Econometrics Journal · 15 citations
with Helmut Farbmacher, Martin Huber, Lukáš Lafférs, Martin Spindler
Timing matters: the impact of response measures on COVID-19-related hospitalization and death rates in Germany and Switzerland
published2020 · Zeitschrift für schweizerische Statistik und Volkswirtschaft/Schweizerische Zeitschrift für Volkswirtschaft und Statistik/Swiss journal of economics and statistics · 65 citations

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.