IDEAS home Printed from https://ideas.repec.org/r/oup/emjrnl/v25y2022i3p628-648..html

Evaluating (weighted) dynamic treatment effects by double machine learning
[Identification of causal effects using instrumental variables]

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Bo Xu & Rengui Sun & Cunhu Xi & Zhaoping Wang, 2025. "Digital governance and the low-carbon transition: evidence from double machine learning," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
  2. Xiangnan Zhai & Xue Yang & Darko B. Vukovic & Daria A. Dinets & Qiang Liu, 2025. "Carbon Emissions Trading Policy and Regional Energy Efficiency: A Quasi-Natural Experiment from China," Energies, MDPI, vol. 18(5), pages 1-20, February.
  3. Chao Wang & Jiapeng Li & Yang Yi & Shuwang Yang, 2024. "Crowding in or crowding out? Executive environmental attention and ESG performance of mining listed companies," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 37(4), pages 897-913, December.
  4. Liu, Lei & Wang, Hanlei & Chen, Si & Chen, Zhi, 2025. "Has the divergence in ESG ratings affected institutional shareholding?," Finance Research Letters, Elsevier, vol. 83(C).
  5. Phillip Heiler & Michael C. Knaus, 2025. "Heterogeneity Analysis with Heterogeneous Treatments," Papers 2507.01517, arXiv.org, revised Feb 2026.
  6. Haining Zhu & Kaolei Guan & Mengting Fu, 2025. "Does public data availability matter for entrepreneurship? Evidence from China’s government data platform access," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
  7. Shi, Pengfei & Zhang, Honghao & Sun, Chaojing & Wang, Xinrui & Li, Xingming, 2025. "The driving effect of digital finance on green total factor productivity—analysis based on double/debiased machine learning model and spatial durbin model," Finance Research Letters, Elsevier, vol. 81(C).
  8. Martin Huber & Kevin Kloiber & Lukas Laffers, 2024. "Testing identification in mediation and dynamic treatment models," Papers 2406.13826, arXiv.org, revised Jun 2026.
  9. Lin, Junjie, 2025. "Effects of electric vehicle demonstration and promotion policy on air pollution: Evidence from China," Transport Policy, Elsevier, vol. 162(C), pages 1-19.
  10. Wu, Liangpeng & Tang, Yujing & Meng, Lei & Zhu, Qingyuan & Zhou, Dequn, 2025. "Navigating ESG rating divergence: Implications for labor investment efficiency and firm adaptation strategy," Global Finance Journal, Elsevier, vol. 67(C).
  11. Zenelabden, Nouran & Oyenubi, Adeola & Dikgang, Johane, 2025. "Fuel stacking, housing quality, and health disparities in rural South Africa: A double machine learning approach," Energy Economics, Elsevier, vol. 151(C).
  12. Li, Kun & Cai, Peifeng & Wang, Jing, 2025. "Exporting like China: Vertical spillover effects of firms exporting digital products," International Review of Financial Analysis, Elsevier, vol. 106(C).
  13. Kangqi Jiang & Xiaofeng Chen & Jiayun Li & Mengling Zhou, 2025. "Technology adoption and extreme stock risk: Evidence from digital tax reform in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-20, December.
  14. Chen, Hongfei & Niu, Dongxiao & Gao, Yibo, 2025. "Research on the impact of energy transition policies on green total factor productivity of Chinese high-energy-consuming enterprises," Energy, Elsevier, vol. 319(C).
  15. 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.
  16. Xiaofang Dai & Zhenhua Zhang & Weiming Gan & Dongshou Fan, 2025. "Can Digital Economy Facilitate Household Clean Cooking Fuel Transition? Empirical Evidence from China," Sustainability, MDPI, vol. 17(1), pages 1-20, January.
  17. Kun Li & Siyu Wan, 2025. "The Road to Green Development: Vertical Spillovers in the Exports of Environmental Goods by Enterprises," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 65(4), pages 3546-3573, December.
  18. Ying Ke & Yueqi Wen & Lili Teng, 2025. "Chain Leader Policy and Corporate Environmental Sustainability: A Multi-Level Analysis of Greenwashing Mitigation Mechanisms," Sustainability, MDPI, vol. 17(19), pages 1-45, October.
  19. Albanese, Andrea & Marguerit, David, 2026. "Labor-Market Consequences of Cross-Border Employment: A Machine Learning Approach," IZA Discussion Papers 18674, IZA Network @ LISER.
  20. Martin Huber & Sarina Joy Oberhansli, 2026. "Difference-in-differences for mediation analysis using double machine learning," Papers 2602.23877, arXiv.org.
  21. Maria Luisa Maitino & Marco Mariani & Valentina Patacchini & Letizia Ravagli & Nicola Sciclone, 2024. "The Employment Effects of the Italian Minimum Guaranteed Income Scheme Reddito di Cittadinanza," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 10(2), pages 649-681, July.
  22. Aleksei Opacic, 2025. "Monotonic Path-Specific Effects: Application to Estimating Educational Returns," Papers 2508.13366, arXiv.org, revised Feb 2026.
  23. Oyenubi, Adeola & Kollamparambil, Umakrishnan, 2023. "Does noncompliance with COVID-19 regulations impact the depressive symptoms of others?," Economic Modelling, Elsevier, vol. 120(C).
  24. Zhang, Jing & Lin, Xiaole & An, Qiguang, 2026. "Dynamic response of the natural interest rate to extreme climate," Research in International Business and Finance, Elsevier, vol. 81(C).
  25. Ma, Dan & Xiao, Fang & Lee, Chien-Chiang, 2026. "Towards carbon neutrality: The effects of artificial intelligence on carbon neutrality technology innovation," Energy, Elsevier, vol. 342(C).
  26. Shu Guan & Mingshan Li, 2025. "Government Procurement and Corporate Green Innovation: Evidence from Dual Machine Learning," SAGE Open, , vol. 15(4), pages 21582440251, November.
  27. Chen, Che & Chen, Song & Wu, Dingwen, 2025. "The impact of ESG performance on R&D investment stability: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 99(C).
  28. 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.
  29. Yaowu, Yang & Qidong, Cheng & Yang, Liu, 2025. "Board structure and corporate strategic aggressiveness - an examination based on the double machine learning method," China Economic Review, Elsevier, vol. 92(C).
  30. 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).
  31. Shoupeng Wang & Haixin Huang & Fenghua Wu, 2025. "Can Local Industrial Policy Enhance Urban Land Green Use Efficiency? Evidence from the “Made in China 2025” National Demonstration Zone Policy," Land, MDPI, vol. 14(8), pages 1-24, July.
  32. Xu, Aiting & Dai, Yujie & Hu, Zhiyuan & Qiu, Keyang, 2025. "Can green finance policy promote inclusive green growth?- Based on the quasi-natural experiment of China's green finance reform and innovation pilot zone," International Review of Economics & Finance, Elsevier, vol. 100(C).
  33. Fabian Muny, 2025. "Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies," Papers 2506.11960, arXiv.org.
  34. Han, Dongri & Wang, Ruiqi & Yuan, Yijia & Xiao, Deheng, 2026. "Research on the impact of ultra-high voltage transmission on urban carbon neutral technology innovation: An empirical test based on double machine learning method," Energy Economics, Elsevier, vol. 154(C).
  35. Xiatian Chen & Kaihua Bao & Chen Gao & Ya Wen & Ting Zhang, 2025. "Towards Corporate Sustainability: Can the Cultural and Tourism Consumption Promotion Policy Enhance Corporate ESG Performance?," Sustainability, MDPI, vol. 17(18), pages 1-28, September.
  36. 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.
  37. Yang, Lu & Huang, Manyu & Wang, Haoyang, 2025. "Artificial intelligence and resilience of supply chain in China’s listed firms: Insights into vertical spillover effects," Finance Research Letters, Elsevier, vol. 85(PB).
  38. Cheuk Hang Leung & Yijun Li & Qi Wu, 2025. "Distribution-valued Causal Machine Learning: Implications of Credit on Spending Patterns," Papers 2509.03063, arXiv.org.
  39. Jonathan Fuhr & Dominik Papies, 2024. "Double Machine Learning meets Panel Data -- Promises, Pitfalls, and Potential Solutions," Papers 2409.01266, arXiv.org.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.