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Vira Semenova

University of California, Berkeley (from arXiv:2410.07443, 2024) · OpenAlex

9 papers in scope · 5 published · 5 on the econ.EM arXiv · 47 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. Victor Chernozhukov
  2. James M. Robins
  3. Whitney K. Newey
  4. Ying Wei
  5. Vasilis Syrgkanis
  6. Yuichi Kitamura
  7. Alexandre Belloni
  8. Hidehiko Ichimura
  9. Christian Hansen
  10. Juan Carlos Escanciano
  11. Denis Chetverikov
  12. Asher Spector
  13. Wenlong Ji
  14. Haonan Ye
  15. Jörg Stoye
  16. В. М. Семенова
  17. Kengo Kato
  18. Phillip Heiler
  19. Asbjørn Kaufmann
  20. Esther Duflo

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

(5 of 9)

working paper2026 · arXiv
Generalized Lee bounds
published2025 · Journal of Econometrics · 1 citations
working paper2024 · arXiv
Debiased machine learning of set-identified linear models
published2023 · Journal of Econometrics · 2 citations · first circulated 2017
published2021 · Econometrics Journal · 9 citations · first circulated 2018
Debiased machine learning of conditional average treatment effects and other causal functions
published2020 · Econometrics Journal · 27 citations · first circulated 2017
working paper2019 · arXiv · 2 citations
ВИКОРИСТАННЯ МОДЕЛЕЙ ОДНОГО ЧАСОВОГО РЯДУ ДЛЯ ПРОГНОЗУВАННЯ ЕКОНОМІЧНИХ ПОКАЗНИКІВ У СУЧАСНИХ УМОВАХ
published2018 · Financial and credit activity problems of theory and practice · 4 citations
with Kateryna Semenova
working paper2018 · arXiv · 2 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.