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Double machine learning with gradient boosting and its application to the Big N audit quality effect

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Cited by:

  1. Wei, Rongrong & Xia, Yueming, 2024. "Digital transformation and corporate green total factor productivity: Based on double/debiased machine learning robustness estimation," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 808-827.
  2. Wang, Lulu & Lyu, Jie & Wang, Shanshan & Zhang, Junyan, 2025. "Unveiling the influence of agricultural mechanization on greenhouse gas emission intensity: Insights from China using causal machine learning model," Agricultural Systems, Elsevier, vol. 226(C).
  3. Zhang, Hua & Lai, Jie, 2024. "Greening through ESG: Do ESG ratings improve corporate environmental performance in China?," International Review of Economics & Finance, Elsevier, vol. 96(PC).
  4. Bilgin, Rumeysa, 2023. "The Selection Of Control Variables In Capital Structure Research With Machine Learning," SocArXiv e26qf, Center for Open Science.
  5. Yong Bian & Xiqian Wang & Qin Zhang, 2023. "How Does China's Household Portfolio Selection Vary with Financial Inclusion?," Papers 2311.01206, arXiv.org.
  6. 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.
  7. de Villiers, Charl & Dumay, John & Farneti, Federica & Jia, Jing & Li, Zhongtian, 2025. "Reprint of: Does mandating corporate social and environmental disclosure improve social and environmental performance?: Broad-based evidence regarding the effectiveness of directive 2014/95/EU," The British Accounting Review, Elsevier, vol. 57(1).
  8. Huber, Martin & Meier, Jonas & Wallimann, Hannes, 2022. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 22-39.
  9. repec:osf:socarx:e26qf_v1 is not listed on IDEAS
  10. Junhao Zhong & Zhenzhen Wang & Yunfeng Deng, 2025. "Driving the Green Transformation of Enterprises: The Role of Patent Insurance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(2), pages 1373-1391, March.
  11. Guiming Liao & Zheli Hu & Zhichen Yang & Qianlin Yin & Jiahui Chen, 2025. "The Perception of Policy Uncertainty and the Labor Income Share of Firms: Empirical Research Based on Double Machine Learning," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(2), pages 999-1011, March.
  12. Qiao, Dan & Jiao, Junzhen & Khalid, Norlin & Ali, Mohd Helmi, 2025. "Supply chain concentration and corporate green innovation: Evidence from China," Innovation and Green Development, Elsevier, vol. 4(2).
  13. 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).
  14. Bowen Li & Meiying Huang & Quan Li, 2024. "The Impact of Low-Carbon City Construction on Urban Shrinkage: Evidence from China," Land, MDPI, vol. 13(12), pages 1-20, December.
  15. Pierfrancesco Alaimo Di Loro & Daria Scacciatelli & Giovanna Tagliaferri, 2023. "2-step Gradient Boosting approach to selectivity bias correction in tax audit: an application to the VAT gap in Italy," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(1), pages 237-270, March.
  16. Anoop Kumar & Suresh Dodda & Navin Kamuni & Rajeev Kumar Arora, 2024. "Unveiling the Impact of Macroeconomic Policies: A Double Machine Learning Approach to Analyzing Interest Rate Effects on Financial Markets," Papers 2404.07225, arXiv.org.
  17. Wang, Xiqian & Bian, Yong & Zhang, Qin, 2023. "The effect of cooking fuel choice on the elderly’s well-being: Evidence from two non-parametric methods," Energy Economics, Elsevier, vol. 125(C).
  18. Cai, Yunhao & Jing, Peng & Wang, Baihui & Jiang, Chengxi & Wang, Yuan, 2023. "How does “over-hype” lead to public misconceptions about autonomous vehicles? A new insight applying causal inference," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
  19. 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).
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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).
  25. Song, Hongti & Chen, Wei, 2025. "A digital blueprint for sustainability: Can digital infrastructure policies promote renewable energy innovation?," Renewable Energy, Elsevier, vol. 244(C).
  26. 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.
  27. Jizhou Wang & Jin’an He & Richard Cebula & Maggie Foley & Fangping Peng, 2024. "Mixed ownership reform, political connections, and overinvestment," American Journal of Economics and Sociology, Wiley Blackwell, vol. 83(2), pages 407-425, March.
  28. 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.
  29. Bingduo Yang & Wei Long & Zongwu Cai, 2024. "Machine Learning Based Panel Data Models," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202402, University of Kansas, Department of Economics, revised Jan 2024.
  30. Liao, Liping & Kong, Shuning & Du, Minzhe, 2025. "The effect of clean heating policy on individual health: Evidence from China," China Economic Review, Elsevier, vol. 89(C).
  31. Fang, Yan & Liu, Yinglin & Yang, Yi & Lucey, Brian & Abedin, Mohammad Zoynul, 2025. "How do Chinese urban investment bonds affect its economic resilience? Evidence from double machine learning," Research in International Business and Finance, Elsevier, vol. 74(C).
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