Ruoxuan Xiong

Emory University

36 Eagle Row

Atlanta, GA 30322-0001

United States

  • Emory University

SCHOLARLY PAPERS

10

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SSRN CITATIONS
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35

CROSSREF CITATIONS

12

Scholarly Papers (10)

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1.

Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference

Number of pages: 49 Posted: 28 Oct 2019 Last Revised: 11 Jun 2023
Ruoxuan Xiong and Markus Pelger
Emory University and Stanford University - Department of Management Science & Engineering
Downloads 980 (40,908)
Citation 4

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Factor Analysis, Principal Components, Synthetic Control, Causal Inference, Treatment Effect, Missing Entry, Large-Dimensional Panel Data, Large N and T, Matrix Completion

2.

Target PCA: Transfer Learning Large Dimensional Panel Data

Journal of Econometrics, accepted
Number of pages: 48 Posted: 27 Dec 2022 Last Revised: 30 Aug 2023
Junting Duan, Markus Pelger and Ruoxuan Xiong
Stanford University - Department of Management Science & Engineering, Stanford University - Department of Management Science & Engineering and Emory University
Downloads 651 (70,909)

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Factor Analysis, Principal Components, Transfer Learning, Multiple Data Sets, Large-Dimensional Panel Data, Large N and T, Missing Data, Weak Factors, Causal Inference

3.

Optimal Experimental Design for Staggered Rollouts

Number of pages: 111 Posted: 20 Nov 2019 Last Revised: 30 Mar 2023
Ruoxuan Xiong, Susan Athey, Mohsen Bayati and Guido W. Imbens
Emory University, Stanford Graduate School of Business, Stanford Graduate School of Business and Stanford Graduate School of Business
Downloads 644 (71,892)
Citation 8

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Adaptive Experiments, Treatment Effect Estimation, Carryover Effects, Panel Data, Dynamic programming

4.

State-Varying Factor Models of Large Dimensions

Number of pages: 36 Posted: 01 Feb 2018 Last Revised: 15 Oct 2020
Markus Pelger and Ruoxuan Xiong
Stanford University - Department of Management Science & Engineering and Emory University
Downloads 608 (77,161)
Citation 23

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Factor Analysis, Principle Components, State-Varying, Nonparametric, Kernel-Regression, Large-Dimensional Panel Data, Large N and T

5.

Interpretable Sparse Proximate Factors for Large Dimensions

Number of pages: 81 Posted: 21 May 2018 Last Revised: 08 Jul 2021
Markus Pelger and Ruoxuan Xiong
Stanford University - Department of Management Science & Engineering and Emory University
Downloads 377 (136,805)
Citation 7

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Factor Analysis, Principle Components, Sparse Loading, Interpretability, Large-Dimensional Panel Data, Large N and T

6.

Federated Causal Inference in Heterogeneous Observational Data

Stanford University Graduate School of Business Research Paper
Number of pages: 68 Posted: 09 Aug 2021 Last Revised: 03 Apr 2023
Ruoxuan Xiong, Allison Koenecke, Michael Powell, Zhu Shen, Joshua T. Vogelstein and Susan Athey
Emory University, Stanford University, Johns Hopkins University, Stanford University, Johns Hopkins University and Stanford Graduate School of Business
Downloads 272 (194,175)
Citation 1

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Causal Inference, Propensity Scores, Federated Learning, Multiple Data Sets

7.

Data-Driven Switchback Designs: Theoretical Tradeoffs and Empirical Calibration

Number of pages: 58 Posted: 29 Nov 2023
Ruoxuan Xiong, Alex Chin and Sean J. Taylor
Emory University, Motif Analytics and Independent
Downloads 233 (225,333)

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Time-Based Experiment, Carryover Effect, Simultaneous Intervention, Event Analysis, Treatment Effect Estimation, Ride-Sharing Platform

8.

Internet Appendix for State-Varying Factor Models of Large Dimensions

Number of pages: 84 Posted: 08 Dec 2020
Markus Pelger and Ruoxuan Xiong
Stanford University - Department of Management Science & Engineering and Emory University
Downloads 74 (542,562)

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Factor Analysis, Principal Components, State-Varying, Nonparametric, Kernel- Regression, Large-Dimensional Panel Data, Large N and T

9.

Internet Appendix to Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference

Number of pages: 104 Posted: 14 Jan 2021 Last Revised: 14 Apr 2022
Ruoxuan Xiong and Markus Pelger
Emory University and Stanford University - Department of Management Science & Engineering
Downloads 61 (600,397)
Citation 4

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Factor Analysis, Principal Components, Synthetic Control, Causal Inference, Treatment Effect, Missing Entry, Large-Dimensional Panel Data, Large N and T , Matrix Completion

10.

Internet Appendix for Target PCA: Transfer Learning Large Dimensional Panel Data

Number of pages: 51 Posted: 20 Sep 2023
Junting Duan, Markus Pelger and Ruoxuan Xiong
Stanford University - Department of Management Science & Engineering, Stanford University - Department of Management Science & Engineering and Emory University
Downloads 21 (872,815)

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Factor Analysis, Principal Components, Transfer Learning, Multiple Data Sets, Large-Dimensional Panel Data, Large N and T , Missing Data, Weak Factors, Causal Inference