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. Phillip Heiler & Michael C. Knaus, 2025. "Heterogeneity Analysis with Heterogeneous Treatments," Papers 2507.01517, arXiv.org.
  2. 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.
  3. Aleksei Opacic, 2025. "Monotonic Path-Specific Effects: Application to Estimating Educational Returns," Papers 2508.13366, arXiv.org, revised Feb 2026.
  4. Oyenubi, Adeola & Kollamparambil, Umakrishnan, 2023. "Does noncompliance with COVID-19 regulations impact the depressive symptoms of others?," Economic Modelling, Elsevier, vol. 120(C).
  5. 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).
  6. Fabian Muny, 2025. "Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies," Papers 2506.11960, arXiv.org.
  7. 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.
  8. 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.
  9. Jonathan Fuhr & Dominik Papies, 2024. "Double Machine Learning meets Panel Data -- Promises, Pitfalls, and Potential Solutions," Papers 2409.01266, arXiv.org.
  10. 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.
  11. 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.
  12. 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).
  13. 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.
  14. 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).
  15. 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.
  16. 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.
  17. Cheuk Hang Leung & Yijun Li & Qi Wu, 2025. "Distribution-valued Causal Machine Learning: Implications of Credit on Spending Patterns," Papers 2509.03063, arXiv.org.
  18. 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.
  19. 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).
  20. 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.
  21. 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.
  22. 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).
  23. 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.
  24. Martin Huber & Kevin Kloiber & Lukas Laffers, 2024. "Testing identification in mediation and dynamic treatment models," Papers 2406.13826, arXiv.org.
  25. 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.
  26. 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).
  27. 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).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.