Debiased machine learning of conditional average treatment effects and other causal functions

Cited by (167)

Items 101–167 of 167

1. A nonparametric doubly robust test for a continuous treatment effect
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2. The Beneficent and Maleficent Effects of Simplification on Retirement Savings
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3. Sequential kernel embedding for mediated and time-varying dose response curves
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4. Monitoring Decreases Discrimination
   Edmund Baker, Veronika Grimm, Yuval Ofek‐Shanny · 2021 · Economic Inquiry
5. Long Story Short: Omitted Variable Bias in Causal Machine Learning
   Victor Chernozhukov, Carlos Cinelli, Whitney K. Newey, Amit Shamar, Vasilis Syrgkanis · 2022 · SSRN Electronic Journal
6. Variable importance measures for heterogeneous treatment effects with survival outcome
   Simon Christoffer Ziersen, Torben Martinussen · 2025 · Scandinavian Journal of Statistics
7. Estimating heterogeneous impacts Of subsidised health insurance: A causal machine learning approach
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8. Latent Variable Modeling for Robust Causal Effect Estimation
   Tetsuro Morimura, Tatsushi Oka, Yoshimasa Suzuki, Daisuke Moriwaki · 2025 · ACM International Conference on Information and Knowledge Management (CIKM)
9. Nonparametric estimation of conditional average treatment effects under high-dimensional confounding
   Michael Zimmert, Michael Lechner · 2025 · Econometrics Journal
10. Doubly-robust inference for conditional average treatment effects with high-dimensional controls
    Adam Baybutt, Manu Navjeevan · 2026 · Journal of Econometrics
11. Individualized multi-treatment response curves estimation using RBF-net with shared neurons
    Peter Chang, Arkaprava Roy · 2025 · Biometrics
12. Continuous difference-in-differences with double/debiased machine learning
    Lucas Zheng Zhang · 2025 · Econometrics Journal
13. Digital positive affect intervention (PAI) versus self-monitoring placebo in the treatment of anxiety and depression: a two-arm randomized controlled trial (RCT)
    Nur Hani Zainal, Sarah Josephine Rajendra, Natalia Van Doren, Alicia Salamanca-Sanabria, Joshua E. Curtiss, Shian‐Ling Keng · 2025 · BMC Psychiatry
14. Only-child matching penalty in the marriage market
    Keisuke Kawata, Mizuki Komura · 2025 · Journal of Demographic Economics
15. Call Me Maybe: Does Customer Feedback-Seeking Impact Non-Solicited Customers?
    Rupali Kaul, Stephen J. Anderson, Pradeep K. Chintagunta, Naufel J. Vilcassim · 2023 · SSRN Electronic Journal
16. Does Offering Multiple Shipping Options Increase the Final Selling Price? Evidence from eBay
    Wen Zhang, Guihua Wang, Nancy Wang · 2023 · SSRN Electronic Journal
17. A Practical Guide to Estimating Conditional Marginal Effects: Modern Approaches
    Jiehan Liu, Ziyi Liu, Yiqing Xu · 2025 · SSRN Electronic Journal
18. Multiscale spatiotemporal heterogeneity analysis of bike-sharing system’s self-loop phenomenon
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19. Consumption Stimulus with Digital Coupons
    Ying Chen, Ming‐Yi Li, Jiaming Mao, Jingyi Zhou · 2025 · SSRN Electronic Journal
20. Clustered Covariate Regression
    Abdul‐Nasah Soale, Emmanuel Selorm Tsyawo · 2019 · SSRN Electronic Journal
21. Essays in Causal Machine Learning
    Michael Zimmert · 2021 · Alexandria (UniSG) (University of St.Gallen)
22. Essays on causal inference
    Henrika Langen · 2022
23. (Smart) Technology Doesn’t Make Us Dumber: Marketing Analytics Improves the Mental, Managerial and Financial Performance of Entrepreneurs in Rwanda
    Stephen J. Anderson, Pradeep K. Chintagunta, Rupali Kaul, Naufel J. Vilcassim · 2023 · SSRN Electronic Journal
24. Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach
    Zhaoqing Tian, Peng Wu, Zixin Yang, Dingjiao Cai, Qirui Hu · 2023 · Stat
25. Unearthing Extreme Causal Effects via Meta-Learner
    Jiaoyun Yang, Chunlei Ren, Yi Tao, Yue Yin, Lian Ying Li · 2024 · International Conference on Computing and Artificial Intelligence (ICCAI)
26. Horizontal Stratification of Higher Education and Gender Earnings Gap in the Early Labor Market
    Inchan Hwang · 2024
27. Learning Through Living Room Screens: Experimental Evidence from Kenya
    Jasmin Baier, Laura Nelima Barasa, Nicolas Luis Bottan, Anushka Ghosh, Mark Millrine · 2025 · SSRN Electronic Journal
28. Optimization of Proportional Hazards Model Based on Generalized Boosted Inverse Probability Method
    Bo Wang · 2024 · International Symposium on Artificial Intelligence for Medicine Sciences (ISAIMS)
29. Uniform Confidence Band for Marginal Treatment Effect Function
    Toshiki Tsuda, Yanchun Jin, Ryo Okui · 2025 · SSRN Electronic Journal
30. (Smart) Technology Doesn't Make Us Dumber: Marketing Analytics Improves the Mental, Managerial and Financial Performance of Entrepreneurs in Rwanda
    Stephen J. Anderson, Pradeep K. Chintagunta, Rupali Kaul, Naufel J. Vilcassim · 2025 · SSRN Electronic Journal
31. Semiparametric inference based on adaptively collected data
    Licong Lin, Koulik Khamaru, Martin J. Wainwright · 2025 · The Annals of Statistics
32. Inference for an algorithmic fairness-accuracy frontier
    Liu, Yiqi, Molinari, Francesca · 2025
33. Consumption Stimulus with Digital Coupons
    Ying Chen, Ming‐Yi Li, Jiaming Mao, Jingyi Zhou · 2025 · SSRN Electronic Journal
34. Semiparametric Efficient Inference for the Probability of Necessary and Sufficient Causation
    Zhaoqing Tian, Peng Wu · 2025 · Statistics in Medicine
35. An Alternative Orthogonal Estimator for Estimating Conditional Marginal Effect
    Li Zheng, Weiwen Yin · 2025 · SSRN Electronic Journal
36. Business Development Services and New Market Expansion: Evidence from a Field Experiment with Nigerian Entrepreneurs
    Rupali Kaul, Stephen J. Anderson, David John McKenzie · 2025 · SSRN Electronic Journal
37. Effects Among the Affected
    Lina Montoya, Elvin Hsing Geng, Michael Valancius, Michael Kosorok, Maya L. Petersen · 2025 · Statistics in Medicine
38. Identifying demographic, social, and clinical predictors of interleukin inhibitor biologic therapy effects using the real-world clinical data
    Shasha Han, Peng Wu, Zhihui Yang, Ruoyu Li, Hang Li, Xiao‐Hua Zhou · 2022 · Research Square
39. Additional file 1 of Updated beliefs and shaken confidence: evidence from vaccine hesitancy caused by experiencing “COVID arm”
    Taiyo Fukai, Keisuke Kawata, Nakabayashi, Masaki · 2024 · Figshare
40. The Effect of Framing on Policy Support: Experimental Evidence from Urban Transport Policies
    Johanna Arlinghaus, Théo Konc, Linus Mattauch, Stephan Sommer · 2025 · SSRN Electronic Journal
41. Estimation and inference for causal functions with multi-way clustered data
    Nan Liu, Yanbo Liu, Yuya Sasaki · 2026 · Journal of Econometrics
42. Aggregation trees
    Riccardo Di Francesco · 2026 · Econometric Reviews
43. Estimation of conditional treatment effect and prediction of binary outcomes using the joint use of propensity and prognostic scores
    Jonggyu Baek, Deborah Sara Mack, Anthony P. Nunes, Kate L. Lapane · 2026 · Journal of Applied Statistics
44. Inference for heterogeneous treatment effects with efficient instruments and machine learning
    Cyrill Scheidegger, Zijian Guo, Peter Bühlmann · 2026 · Electronic Journal of Statistics
45. Impact of Domestic Demand on the Global Value Chain Position of Manufacturing: Evidence From a Cross‐Country Analysis
    Qingyuan Dong, Qunyang Du · 2026 · World Economy
46. From Memes to Markets: How WallStreetBets Attention Drives Robinhood Trading - A Causal Machine Learning Approach
    Enrico G. De Giorgi, Christoph Hirt, Jule Schuettler · 2026 · SSRN Electronic Journal
47. Sustained House Price Booms and Banking Crisis Risk:,Causal Evidence from a Global Panel
    Pham Anh · 2026 · SSRN Electronic Journal
48. Doubly Robust Pointwise Confidence Intervals for a Monotonic Continuous Treatment Effect Curve
    Charles R. Doss · 2026 · Journal of the American Statistical Association
49. Essays in Political Economy of Media and Social Media
    Etienne Madinier · 2023
50. Matching‐Based Nonparametric Estimation of Group Average Treatment Effects
    Peng Wu, Pengtao Zeng, Zhaoqing Tian, Shaojie Wei · 2026 · Statistics in Medicine
51. Nonparametric efficient estimation of marginal structural models with continuous time-varying treatments
    A Martin, Michele Santacatterina, Ivan Matos Diaz · 2026 · Biometrika
52. Fuel costs and spatial rail accessibility: Econometric evidence from an empirically-weighted network-based 3SFCA model
    Angela Stefania Bergantino, Alessandro Buongiorno, Giulio Fusco, Mario Intini, Gianluca Monturano · 2026 · Research in Transportation Business & Management
53. To Trust the Time Traveller: Expert Consensus, Partisan Identity, and the Capture of Economic Facts Citizens cannot Check
    Anes Tamtam · 2026 · SSRN Electronic Journal
54. Machine Learning for Causal Inference: Opportunities and Pitfalls
    Julia Hatamyar, Noémi Kreif · 2026 · Oxford Research Encyclopedia of Economics and Finance
55. Heterogeneity in the treatment effect of sodium-glucose cotransporter-2 inhibitor on chronic kidney disease risk reduction: a prevalent new user cohort study applying double/debiased machine learning
    Tanawan Kongmalai, Panu Looareesuwan, Amarit Tansawet, Sukanya Siriyotha, Patratorn Kunakorntham, Burin Boonwatcharapai, John Attia, Gareth J. McKay, Ammarin Thakkinstian · 2026 · Diabetology & Metabolic Syndrome
56. Causal Benefit-Aware Recommendation for Personalized Learning-Path Features: A Targeting-Policy Framework with Provable Guarantees and Randomized Evaluation
    Yanfen Huang, Lin Wang, Weihua Bai, Teng Zhou, Xinyang Wang · 2026 · Electronics
57. Query-Driven Data Exploration with Heterogeneous Treatment Effects
    Antonis Mandamadiotis, Sihem Amer-Yahia, Georgia Koutrika · 2026 · IEEE International Conference on Data Engineering (ICDE)
58. The heterogeneous effects of South Korea’s green belt policy
    Changro Lee · 2026 · Spatial Economic Analysis
59. Harnessing Machine Learning in Corporate Finance: State of the Art and New Perspectives
    Giovanni Cerulli, Ornella Ricci · 2026
60. Green Finance Pilot Policy and the Green Transformation of Digital Economy: A Dual Machine Learning Approach with Spatial Quantile Heterogeneity Identification
    Linyue Zhang, Yong-Sik Hwang · 2026 · Applied Spatial Analysis and Policy
61. Generalizing Conditional Average Treatment Effects From Nested Randomized Trials to Trial‐Eligible Individuals
    Lan Wen, Issa J Dahabreh, Yu‐Han Chiu · 2026 · Statistics in Medicine
62. Hypothesis Testing for Treatment Effect Heterogeneity via an Adaptively Augmented Debiased Estimator
    Shota Takeishi, Xuming He · 2026 · ASA Discoveries
63. From Data to Decisions: Marketing Analytics, Mental Performance, and Firm Growth in an Emerging Market
    Stephen J. Anderson, Pradeep K. Chintagunta, Rupali Kaul, Naufel J. Vilcassim · 2026 · Marketing Science
64. A Doubly Robust Approach to Evaluating the Impact of Hospital Length of Stay on Post‐Fracture Recovery in Older Adults With Cognitive Impairment
    Haoyu Ren, Tong Wen, Jason R. Falvey, Yi Huang, Chixiang Chen · 2026 · Statistics in Medicine
65. How three-dimensional urban morphology shapes economic-ecological trade-offs: Adjusted effects and spatial heterogeneity in the Pearl River Delta
    Danhong Ma, Haojing Zhang, Yan Liu, Ting Zhao, Zilong Zhang · 2026 · Sustainable Cities and Society
66. Orchestrating the Scale Ecosystem: Causal Pathways Between the Management of Technological Innovation and Technology-Intense Entrepreneurial Ventures
    孙万军, Beiwei Li, Ziwei Lin · 2026 · International Review of Economics & Finance
67. Who benefits from choosing a family doctor? A cross-sectional study of specialist waiting times and socioeconomic inequalities in Spain
    Juan David García-Corchero · 2026 · Health Policy