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Haitian Xie

Peking University (from arXiv:2503.11375, 2025) · ORCID · OpenAlex

16 papers in scope · 7 published · 11 on the econ.EM arXiv · 12 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. Chunrong Ai
  2. Kaiji Motegi
  3. Matias D. Cattaneo
  4. Yue Fang
  5. Zheng Zhang
  6. Rajita Chandak
  7. Xinwei Ma
  8. Michael Jansson
  9. Yan Liu
  10. Yu-Chang Chen
  11. Oliver Linton
  12. Zeqi Wu
  13. Guido W. Imbens
  14. Zheng Zhang
  15. Boris Shigida
  16. Ziyi Liu
  17. Yiqing Xu
  18. Susan Athey
  19. Geert Ridder
  20. Victor Chernozhukov

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

(12 of 16)

Improving on a Lottery: Efficient Estimation of Optimal Assignment Rules
working paper2025 · arXiv
with Yue Fang, Geert Ridder
Paper profile arXiv arXiv:2512.19230
On Local Overidentification and Efficiency Gains in Modern Causal Inference and Data Combination
working paper2025 · arXiv
with Xiaohong Chen
Paper profile arXiv arXiv:2510.16683
A Synthetic Business Cycle Approach to Counterfactual Analysis with Nonstationary Macroeconomic Data
working paper2025 · arXiv
with Zhentao Shi, Jin Xi
Paper profile arXiv arXiv:2505.22388
Difference-in-Differences Meets Synthetic Control: Doubly Robust Identification and Estimation
working paper2025 · arXiv
with Yixiao Sun, Yuhang Zhang
Paper profile arXiv arXiv:2503.11375
On the limitations of data‐based price discrimination
published2025 · Theoretical Economics · first circulated 2022
with Ying Zhu, Denis Shishkin
Theoretical Economics
Model Selection for Multivalued-Treatment Policy Learning in Observational Studies
published2024 · Journal of Business and Economic Statistics · 4 citations
with Yue Fang, Xi Jin
Journal of Business and Economic Statistics
Nonlinear and nonseparable structural functions in regression discontinuity designs with a continuous treatment
published2024 · Journal of Econometrics · 1 citations
Journal of Econometrics
Data-Driven Policy Learning for Continuous Treatments
working paper2024 · arXiv
with Chunrong Ai, Yue Fang
Paper profile arXiv arXiv:2402.02535
Efficient and Robust Estimation of the Generalized LATE Model
published2023 · Journal of Business and Economic Statistics · 1 citations · first circulated 2020
Paper profile Journal of Business and Economic Statistics arXiv:2001.06746
Uniform convergence results for the local linear regression estimation of the conditional distribution
published2023 · Statistics & Probability Letters · 3 citations · first circulated 2021
Paper profile Statistics & Probability Letters arXiv:2112.08546
Strength in numbers: robust mechanisms for public goods with many agents
published2023 · Social Choice and Welfare · 1 citations · first circulated 2021
with Jin Xi
Social Choice and Welfare
Grenander-type Density Estimation under Myerson Regularity
working paper2023 · arXiv
Paper profile arXiv arXiv:2305.09052
Nonlinear and Nonseparable Structural Functions in Fuzzy Regression Discontinuity Designs
working paper2022 · arXiv
Paper profile arXiv arXiv:2204.08168
Personalized Subsidy Rules
working paper2022 · arXiv
with Yu-Chang Chen
Paper profile arXiv arXiv:2202.13545
Global Representation of the Conditional LATE Model: A Separability Result*
published2021 · Oxford Bulletin of Economics and Statistics · 2 citations · first circulated 2020
with Yu-Chang Chen
Paper profile Oxford Bulletin of Economics and Statistics arXiv:2007.08106
Finite-Sample Average Bid Auction
working paper2020 · arXiv
Paper profile arXiv arXiv:2008.10217

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.