EconBase
← All authors

Jann Spiess

Stanford University (from arXiv:2604.22236, 2026) · ORCID · OpenAlex

22 papers in scope · 10 published · 16 on the econ.EM arXiv · 4,018 citations · h-index 7 (over the papers listed here)

Related authors

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

  1. Pedro H. C. Sant’Anna
  2. Guido W. Imbens
  3. Susan Athey
  4. Brantly Callaway
  5. Jonathan Roth
  6. Adeline Delavande
  7. Peter Siminski
  8. Christopher Carter
  9. Patrick Vu
  10. Dmitry Arkhangelsky
  11. Olivia Martin
  12. Clément de Chaisemartin
  13. Stefan Wager
  14. Yifan Guo
  15. Victor Chernozhukov
  16. Vod Vilfort
  17. Neil Christy
  18. Carolina Caetano
  19. Sarah Abraham
  20. Otávio Tecchio

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

(15 of 22)

Algorithmic Feature Highlighting for Human-AI Decision-Making
working paper2026 · arXiv
with Yifan Guo
Paper profile arXiv arXiv:2604.22236
Causal Effect Estimation with Latent Textual Treatments
working paper2026 · arXiv
with Omri Feldman, Amar Venugopal, Amir Feder
Paper profile arXiv arXiv:2602.15730
Testing Monotonicity in a Finite Population
working paper2025 · arXiv
with Jiafeng Chen, Jonathan Roth
Paper profile arXiv arXiv:2512.25032
rjaf: Regularized Joint Assignment Forest with Treatment Arm Clustering
published2025 · The Journal of Open Source Software · first circulated 2024
with Wenbo Wu, Xinyi Zhang, Rahul Ladhania
The Journal of Open Source Software
Machine learning who to nudge: Causal vs predictive targeting in a field experiment on student financial aid renewal
published2025 · Journal of Econometrics · 12 citations · first circulated 2023
with Susan Athey, Niall Keleher
Paper profile Journal of Econometrics arXiv:2310.08672
Optimal Estimation When Researcher and Social Preferences Are Misaligned
published2025 · Econometrica · 6 citations
Econometrica
Designing Algorithmic Recommendations to Achieve Human-AI Complementarity
working paper2024 · arXiv · 4 citations
with Bryce McLaughlin
Paper profile arXiv arXiv:2405.01484
Revisiting Event-Study Designs: Robust and Efficient Estimation
published2024 · The Review of Economic Studies · 1853 citations · first circulated 2016
with Kirill Borusyak, Xavier Jaravel
Paper profile The Review of Economic Studies arXiv:2108.12419
Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests
working paper2023 · arXiv · 1 citations
with Rahul Ladhania, Lyle Ungar, Wenbo Wu
Paper profile arXiv arXiv:2311.00577
A Design-Based Perspective on Synthetic Control Methods
published2023 · Journal of Business and Economic Statistics · 10 citations · first circulated 2021
with Lea Bottmer, Guido W. Imbens, Merrill Warnick
Paper profile Journal of Business and Economic Statistics arXiv:2101.09398
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control
working paper2023 · arXiv · 6 citations
with Guido W. Imbens, Amar Venugopal, Guido Imbens
Paper profile arXiv arXiv:2305.00700
Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability
working paper2022 · arXiv · 1 citations
with Maximilian Kasy
Paper profile arXiv arXiv:2208.09638
Unpacking the Black Box
published2022 · Proceedings of the 23rd ACM Conference on Economics and Computation · 6 citations
with Laura Blattner, Scott Nelson
Proceedings of the 23rd ACM Conference on Economics and Computation
On the Fairness of Machine-Assisted Human Decisions
published2022 · 2022 ACM Conference on Fairness, Accountability, and Transparency · 7 citations · first circulated 2021
with Bryce McLaughlin, Talia B. Gillis
2022 ACM Conference on Fairness, Accountability, and Transparency
Improving Inference from Simple Instruments through Compliance Estimation
working paper2021 · arXiv · 12 citations
with Stephen Coussens
Paper profile arXiv arXiv:2108.03726
Finding Subgroups with Significant Treatment Effects
working paper2021 · arXiv
with Vasilis Syrgkanis, Victor Yaneng Wang
Paper profile arXiv arXiv:2103.07066
Robust Post-Matching Inference
published2020 · Journal of the American Statistical Association · 161 citations
with Alberto Abadie
Journal of the American Statistical Association
Augmenting Pre-Analysis Plans with Machine Learning
published2019 · AEA Papers and Proceedings · 14 citations
with Jens Ludwig, Sendhil Mullainathan
AEA Papers and Proceedings
Bias Reduction in Instrumental Variable Estimation through First-Stage Shrinkage
working paper2017 · arXiv · 1 citations
Paper profile arXiv arXiv:1708.06443
Unbiased Shrinkage Estimation
working paper2017 · arXiv
Paper profile arXiv arXiv:1708.06436
Machine-Learning Tests for Effects on Multiple Outcomes
working paper2017 · arXiv · 7 citations
with Jens Ludwig, Sendhil Mullainathan
Paper profile arXiv arXiv:1707.01473
Machine Learning: An Applied Econometric Approach
published2017 · The Journal of Economic Perspectives · 1917 citations
with Sendhil Mullainathan
The Journal of Economic Perspectives

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.