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Causal mediation analysis with double machine learning

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Cited by:

  1. Yunpeng Fu & Zixuan Wang & Wenjia Zhao, 2025. "The Impact of Information Consumption Pilot Policy on Urban Land Green Use Efficiency: An Empirical Study from China," Land, MDPI, vol. 14(5), pages 1-31, April.
  2. AmirEmad Ghassami & Andrew Ying & Ilya Shpitser & Eric Tchetgen Tchetgen, 2021. "Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference," Papers 2104.02929, arXiv.org, revised Mar 2022.
  3. 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.
  4. Chiara Di Maria, 2025. "Investigating the Causal Effect of Deforestation on Infant Health Through Soil Characteristics: A Comparison of Traditional and Machine Learning Mediation Analysis Using Simulated and Real Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 30(2), pages 466-490, June.
  5. Lulu Wang & Jie Lyu & Junyan Zhang, 2024. "Explicating the Role of Agricultural Socialized Services on Chemical Fertilizer Use Reduction: Evidence from China Using a Double Machine Learning Model," Agriculture, MDPI, vol. 14(12), pages 1-16, November.
  6. Hugo Bodory & Martin Huber & Lukáš Lafférs, 2022. "Evaluating (weighted) dynamic treatment effects by double machine learning [Identification of causal effects using instrumental variables]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 628-648.
  7. Jonathan Fuhr & Philipp Berens & Dominik Papies, 2024. "Estimating Causal Effects with Double Machine Learning -- A Method Evaluation," Papers 2403.14385, arXiv.org, revised Apr 2024.
  8. Huang, Zhehao & Dong, Hao & Liu, Zhaofei & Albitar, Khaldoon, 2025. "Unleashing the empowered effect of data resource on inclusive green growth: Based on double machine learning," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1270-1290.
  9. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Jan 2025.
  10. Wang, Wenna & Yang, Zhen & Chen, Jin & Liu, Jingjiang, 2025. "How does ESG affect government procurement in countries where ESG systems are established from the top down?," Economic Modelling, Elsevier, vol. 146(C).
  11. Rahul Singh & Liyuan Xu & Arthur Gretton, 2020. "Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves," Papers 2010.04855, arXiv.org, revised Oct 2022.
  12. Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
  13. Yuanyuan Zhang & Yongzhou Chen & Rong Xu, 2025. "The Health Cost of Rural Banquet Culture: The Mediating Role of Labor Time and Health Decision-Making—Evidence from Jiangsu, China," Sustainability, MDPI, vol. 17(12), pages 1-24, June.
  14. Li, Pengshi & Lin, Yan & Yu, Xing & Liu, Guifang, 2025. "Does bid-ask spread explains the smile? On DVF and DML," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
  15. Yuchen Lu & Jiakun Zhuang & Jun Chen & Chenlu Yang & Mei Kong, 2025. "The Impact of Farmland Transfer on Urban–Rural Integration: Causal Inference Based on Double Machine Learning," Land, MDPI, vol. 14(1), pages 1-30, January.
  16. Jingwen Zhang & Yi Liu, 2025. "How Does Digital Innovation Empower the Development of New Quality Productive Forces? An Empirical Study Based on Double Machine Learning," Sustainability, MDPI, vol. 17(6), pages 1-29, March.
  17. Kangqi Jiang & Xiaofeng Chen & Jiayun Li & Mengling Zhou, 2025. "Technology adoption and extreme stock risk: Evidence from digital tax reform in China," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-20, December.
  18. Lu Kang & Jie Lv & Haoyang Zhang, 2024. "Can the Water Resource Fee-to-Tax Reform Promote the “Three-Wheel Drive” of Corporate Green Energy-Saving Innovations? Quasi-Natural Experimental Evidence from China," Energies, MDPI, vol. 17(12), pages 1-38, June.
  19. Yang, Bai & Huang, Jingfeng & Chen, Yinzhong, 2025. "The relationship between ESG ratings and digital technological innovation in manufacturing: Insights via dual machine learning models," Finance Research Letters, Elsevier, vol. 71(C).
  20. Yangyang Zhong & Yilin Zhong & Longpeng Zhang & Zhiwei Tang, 2024. "The Path to Urban Sustainability: Urban Intelligent Transformation and Green Development—Evidence from 286 Cities in China," Sustainability, MDPI, vol. 16(23), pages 1-32, November.
  21. Zemenghong Bao & Zhisen Lin & Tiantian Jin & Kun Lv, 2024. "Regional Breakthrough Innovation Change Strategies, Ecological Location Suitability of High-Tech Industry Innovation Ecosystems, and Green Energy," Energies, MDPI, vol. 17(16), pages 1-34, August.
  22. Hu, Zheng & Xu, Yingzhi, 2025. "Can new energy demonstration cities break through the multiple carbon lock-in? Evidence based on double machine learning," Energy Policy, Elsevier, vol. 199(C).
  23. Wang, Yewen & Tang, Jiaxuan & Li, Cheng, 2025. "Registration reform and stock mispricing: Causal inference based on double machine learning," Research in International Business and Finance, Elsevier, vol. 73(PB).
  24. Victor Chernozhukov & Whitney K. Newey & Rahul Singh, 2022. "Automatic Debiased Machine Learning of Causal and Structural Effects," Econometrica, Econometric Society, vol. 90(3), pages 967-1027, May.
  25. Zhang, Yingheng & Li, Haojie & Ren, Gang, 2025. "Analysing the role of traffic volume as mediator in transport policy evaluation with causal mediation analysis and targeted learning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 192(C).
  26. Ruiyu Hu & Zemenghong Bao & Zhisen Lin & Kun Lv, 2024. "The Innovative Construction of Provinces, Regional Artificial Intelligence Development, and the Resilience of Regional Innovation Ecosystems: Quasi-Natural Experiments Based on Spatial Difference-in-D," Sustainability, MDPI, vol. 16(18), pages 1-37, September.
  27. Song, Hongti & Chen, Wei, 2025. "A digital blueprint for sustainability: Can digital infrastructure policies promote renewable energy innovation?," Renewable Energy, Elsevier, vol. 244(C).
  28. Ruonan Cai & Wencan Tian & Rundong Luo & Zhichao Fang & Zhigang Hu, 2025. "Do articles with multiple corresponding authorships have a citation advantage? A double machine learning analysis approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(5), pages 2523-2550, May.
  29. Xinyu Wei & Mingwang Cheng & Kaifeng Duan & Xiangxing Kong, 2024. "Effects of Big Data on PM 2.5 : A Study Based on Double Machine Learning," Land, MDPI, vol. 13(3), pages 1-21, March.
  30. Rahul Singh & Liyuan Xu & Arthur Gretton, 2021. "Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves," Papers 2111.03950, arXiv.org, revised Mar 2025.
  31. Dongli Chen & Qianxuan Huang, 2024. "The New Policy for Innovative Transformation in Regional Industrial Chains, the Conversion of New and Old Kinetic Energy, and Energy Poverty Alleviation," Energies, MDPI, vol. 17(11), pages 1-37, May.
  32. Evan D. Peet & Dana Schultz & Susan Lovejoy & Fuchiang (Rich) Tsui, 2024. "The infant health effects of doulas: Leveraging big data and machine learning to inform cost‐effective targeting," Health Economics, John Wiley & Sons, Ltd., vol. 33(6), pages 1387-1411, June.
  33. Wang, Zhenzhen & Zhou, Feite & Zhong, Junhao, 2024. "Can China's low-carbon city pilot policy facilitate carbon neutrality? Evidence from a machine learning approach," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 756-773.
  34. Yingheng Zhang & Haojie Li & Gang Ren, 2025. "Ex-post evaluation of transport interventions with causal mediation analysis," Transportation, Springer, vol. 52(1), pages 93-126, February.
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