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

Citations

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Cited by:

  1. Fieberg, Christian & Liedtke, Gerrit & Zaremba, Adam & Cakici, Nusret, 2025. "A factor model for the cross-section of country equity risk premia," Journal of Banking & Finance, Elsevier, vol. 171(C).
  2. Zhou, Ruichao & Wu, Jianhong, 2023. "Determining the number of change-points in high-dimensional factor models by cross-validation with matrix completion," Economics Letters, Elsevier, vol. 232(C).
  3. Hugo Freeman & Martin Weidner, 2021. "Low-rank approximations of nonseparable panel models," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 40-77.
  4. Giraldo, Carlos & Giraldo, Iader & Gomez-Gonzalez, Jose E. & Uribe, Jorge M., 2024. "High frequency monitoring of credit creation: A new tool for central banks in emerging market economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 97(C).
  5. Guanhao Zhou & Yuefeng Han & Xiufan Yu, 2025. "Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models," Papers 2505.20536, arXiv.org.
  6. Choi, Jungjun & Kwon, Hyukjun & Liao, Yuan, 2024. "Inference for low-rank completion without sample splitting with application to treatment effect estimation," Journal of Econometrics, Elsevier, vol. 240(1).
  7. Guido Imbens & Nathan Kallus & Xiaojie Mao, 2021. "Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models," Papers 2108.03849, arXiv.org.
  8. Retsef Levi & Elisabeth Paulson & Georgia Perakis & Emily Zhang, 2024. "Heterogeneous Treatment Effects in Panel Data," Papers 2406.05633, arXiv.org.
  9. Cen, Zetai & Lam, Clifford, 2025. "Tensor time series imputation through tensor factor modelling," Journal of Econometrics, Elsevier, vol. 249(PB).
  10. Liu, Wei & Luo, Lan & Zhou, Ling, 2023. "Online missing value imputation for high-dimensional mixed-type data via generalized factor models," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
  11. Jungjun Choi & Ming Yuan, 2023. "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models," Papers 2308.02364, arXiv.org.
  12. Gomez-Gonzalez, Jose E. & Uribe, Jorge M. & Valencia, Oscar M., 2025. "Asymmetric sovereign risk: Implications for climate change preparation," World Development, Elsevier, vol. 188(C).
  13. Chen, Andrew Y. & McCoy, Jack, 2024. "Missing values handling for machine learning portfolios," Journal of Financial Economics, Elsevier, vol. 155(C).
  14. Duan, Junting & Pelger, Markus & Xiong, Ruoxuan, 2024. "Target PCA: Transfer learning large dimensional panel data," Journal of Econometrics, Elsevier, vol. 244(2).
  15. Yinchu Zhu, 2019. "How well can we learn large factor models without assuming strong factors?," Papers 1910.10382, arXiv.org, revised Nov 2019.
  16. Cahan, Ercument & Bai, Jushan & Ng, Serena, 2023. "Factor-based imputation of missing values and covariances in panel data of large dimensions," Journal of Econometrics, Elsevier, vol. 233(1), pages 113-131.
  17. Wang, Yalin & Yu, Long, 2025. "Robust factorization for high-dimensional matrix-variate observations," Journal of Multivariate Analysis, Elsevier, vol. 210(C).
  18. Su, Liangjun & Wang, Fa, 2025. "Inference for large dimensional factor models under general missing data patterns," Journal of Econometrics, Elsevier, vol. 250(C).
  19. Matteo Barigozzi & Luca Trapin, 2025. "Estimation of large approximate dynamic matrix factor models based on the EM algorithm and Kalman filtering," Papers 2502.04112, arXiv.org, revised Jan 2026.
  20. Jin, Sainan & Lu, Xun & Su, Liangjun, 2025. "Three-dimensional heterogeneous panel data models with multi-level interactive fixed effects," Journal of Econometrics, Elsevier, vol. 249(PB).
  21. Helena Chuliá & Sabuhi Khalili & Jorge M. Uribe, 2024. "Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI," IREA Working Papers 202402, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
  22. Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103, arXiv.org.
  23. Vivek F. Farias & Andrew A. Li & Tianyi Peng, 2021. "Learning Treatment Effects in Panels with General Intervention Patterns," Papers 2106.02780, arXiv.org, revised Mar 2023.
  24. Luis Costa & Vivek F. Farias & Patricio Foncea & Jingyuan (Donna) Gan & Ayush Garg & Ivo Rosa Montenegro & Kumarjit Pathak & Tianyi Peng & Dusan Popovic, 2023. "Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure," Interfaces, INFORMS, vol. 53(5), pages 336-349, September.
  25. Iv'an Fern'andez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-Rank Approximations of Nonseparable Panel Models," Papers 2010.12439, arXiv.org, revised Mar 2021.
  26. Cen, Zetai & Lam, Clifford, 2025. "Tensor time series imputation through tensor factor modelling," LSE Research Online Documents on Economics 127231, London School of Economics and Political Science, LSE Library.
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