My bibliography
Save this item
Quasi-oracle estimation of heterogeneous treatment effects
[TensorFlow: A system for large-scale machine learning]
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Dylong, Patrick & Uebelmesser, Silke, 2024.
"Biased beliefs about immigration and economic concerns: Evidence from representative experiments,"
Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 453-482.
- Patrick Dylong & Silke Uebelmesser, 2022. "Biased Beliefs about Immigration and Economic Concerns: Evidence from Representative Experiments," CESifo Working Paper Series 9918, CESifo.
- Daniel Goller, 2023.
"Analysing a built-in advantage in asymmetric darts contests using causal machine learning,"
Annals of Operations Research, Springer, vol. 325(1), pages 649-679, June.
- Goller, Daniel, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Economics Working Paper Series 2013, University of St. Gallen, School of Economics and Political Science.
- Daniel Goller, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Papers 2008.07165, arXiv.org.
- Keyon Vafa & Susan Athey & David M. Blei, 2024.
"Estimating Wage Disparities Using Foundation Models,"
Papers
2409.09894, arXiv.org.
- Vafa, Keyon & Athey, Susan & Blei, David M., 2024. "Estimating Wage Disparities Using Foundation Models," Research Papers 4206, Stanford University, Graduate School of Business.
- Vinish Shrestha, 2024. "Heterogeneous Impacts of ACA-Medicaid Expansion on Insurance and Labor Market Outcomes in the American South," Working Papers 2024-08, Towson University, Department of Economics, revised Jun 2024.
- Michael Lechner & Jana Mareckova, 2024. "Comprehensive Causal Machine Learning," Papers 2405.10198, arXiv.org.
- Paul Clarke & Annalivia Polselli, 2023. "Double Machine Learning for Static Panel Models with Fixed Effects," Papers 2312.08174, arXiv.org, revised Sep 2024.
- Miquel Oliu-Barton & Bary S. R. Pradelski & Nicolas Woloszko & Lionel Guetta-Jeanrenaud & Philippe Aghion & Patrick Artus & Arnaud Fontanet & Philippe Martin & Guntram B. Wolff, 2022.
"The effect of COVID certificates on vaccine uptake, health outcomes, and the economy,"
Nature Communications, Nature, vol. 13(1), pages 1-13, December.
- Miquel Oliu-Barton & Bary S R Pradelski & Nicolas Woloszko & Lionel Guetta-Jeanrenaud & Philippe Aghion & Patrick Artus & Arnaud Fontanet & Philippe Martin & Guntram B Wolff, 2022. "The Effect of COVID Certificates on Vaccine Uptake, Health Outcomes, and the Economy," PSE-Ecole d'économie de Paris (Postprint) hal-03813557, HAL.
- Miquel Oliu-Barton & Bary S R Pradelski & Nicolas Woloszko & Lionel Guetta-Jeanrenaud & Philippe Aghion & Patrick Artus & Arnaud Fontanet & Philippe Martin & Guntram B Wolff, 2022. "The Effect of COVID Certificates on Vaccine Uptake, Health Outcomes, and the Economy," Post-Print hal-03813557, HAL.
- Miquel Oliu-Barton & Bary S R Pradelski & Nicolas Woloszko & Lionel Guetta-Jeanrenaud & Philippe Aghion & Patrick Artus & Arnaud Fontanet & Philippe Martin & Guntram B Wolff, 2022. "The Effect of COVID Certificates on Vaccine Uptake, Health Outcomes, and the Economy," SciencePo Working papers Main hal-03813557, HAL.
- Weicong Lyu & Jee-Seon Kim & Youmi Suk, 2023. "Estimating Heterogeneous Treatment Effects Within Latent Class Multilevel Models: A Bayesian Approach," Journal of Educational and Behavioral Statistics, , vol. 48(1), pages 3-36, February.
- Hyung G. Park & Danni Wu & Eva Petkova & Thaddeus Tarpey & R. Todd Ogden, 2023. "Bayesian Index Models for Heterogeneous Treatment Effects on a Binary Outcome," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 15(2), pages 397-418, July.
- Newham, Melissa & Valente, Marica, 2024.
"The cost of influence: How gifts to physicians shape prescriptions and drug costs,"
Journal of Health Economics, Elsevier, vol. 95(C).
- Melissa Newham & Marica Valente, 2022. "The Cost of Influence: How Gifts to Physicians Shape Prescriptions and Drug Costs," Papers 2203.01778, arXiv.org, revised Apr 2023.
- Melissa Newham & Marica Valente, 2023. "The Cost of Influence:How Gifts to Physicians Shape Prescriptions and Drug Costs," Working Papers 2023-03, Faculty of Economics and Statistics, Universität Innsbruck.
- Bokelmann, Björn & Lessmann, Stefan, 2024. "Improving uplift model evaluation on randomized controlled trial data," European Journal of Operational Research, Elsevier, vol. 313(2), pages 691-707.
- Undral Byambadalai & Tatsushi Oka & Shota Yasui, 2024. "Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction," Papers 2407.16037, arXiv.org.
- Axenbeck, Janna & Berner, Anne & Kneib, Thomas, 2022. "What drives the relationship between digitalization and industrial energy demand? Exploring firm-level heterogeneity," ZEW Discussion Papers 22-059, ZEW - Leibniz Centre for European Economic Research.
- Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Apr 2024.
- Susan Athey & Lisa K. Simon & Oskar N. Skans & Johan Vikstrom & Yaroslav Yakymovych, 2023.
"The Heterogeneous Earnings Impact of Job Loss Across Workers, Establishments, and Markets,"
Papers
2307.06684, arXiv.org, revised Feb 2024.
- Athey, Susan & Simon, Lisa K. & Skans, Oskar N. & Vikstrom, Johan & Yakymovych, Yaroslav, 2023. "The Heterogeneous Earnings Impact of Job Loss across Workers, Establishments, and Markets," Research Papers 4148, Stanford University, Graduate School of Business.
- Athey, Susan & Simon, Lisa & Skans, Oskar & Johan Vikström, Johan & Yakymovych, Yaroslav, 2024. "The heterogeneous earnings impact of job lossacross workers, establishments, and markets," Working Paper Series 2024:10, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Pedro Forquesato, 2022. "Who Benefits from Political Connections in Brazilian Municipalities," Papers 2204.09450, arXiv.org.
- Valente, Marica, 2023.
"Policy evaluation of waste pricing programs using heterogeneous causal effect estimation,"
Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
- Marica Valente, 2020. "Policy evaluation of waste pricing programs using heterogeneous causal effect estimation," Papers 2010.01105, arXiv.org, revised Nov 2022.
- Marica Valente, 2021. "Policy Evaluation of Waste Pricing Programs Using Heterogeneous Causal Effect Estimation," Discussion Papers of DIW Berlin 1980, DIW Berlin, German Institute for Economic Research.
- Alicia Curth & Mihaela van der Schaar, 2023. "In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation," Papers 2302.02923, arXiv.org, revised Jun 2023.
- Yiyi Huo & Yingying Fan & Fang Han, 2023. "On the adaptation of causal forests to manifold data," Papers 2311.16486, arXiv.org, revised Dec 2023.
- Jocteur, Bérénice-Alexia & Maume-Deschamps, Véronique & Ribereau, Pierre, 2024. "Heterogeneous Treatment Effect-based Random Forest: HTERF," Computational Statistics & Data Analysis, Elsevier, vol. 196(C).
- Daniele Ballinari & Nora Bearth, 2024. "Improving the Finite Sample Performance of Double/Debiased Machine Learning with Propensity Score Calibration," Papers 2409.04874, arXiv.org.
- Haupt, Johannes & Lessmann, Stefan, 2022. "Targeting customers under response-dependent costs," European Journal of Operational Research, Elsevier, vol. 297(1), pages 369-379.
- Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
- Asproudis, Elias & Gedikli, Cigdem & Talavera, Oleksandr & Yilmaz, Okan, 2024.
"Returns to solar panels in the housing market: A meta learner approach,"
Energy Economics, Elsevier, vol. 137(C).
- Elias Asproudis & Cigdem Gedikli & Oleksandr Talavera & Okan Yilmaz, 2023. "Returns to Solar Panels in the Housing Market: A Meta Learner Approach," Discussion Papers 23-01, Department of Economics, University of Birmingham.
- Hua Chen & Jianing Xing & Xiaoxu Yang & Kai Zhan, 2021. "Heterogeneous Effects of Health Insurance on Rural Children’s Health in China: A Causal Machine Learning Approach," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
- Phillip Heiler & Michael C. Knaus, 2021.
"Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments,"
Papers
2110.01427, arXiv.org, revised Aug 2023.
- Heiler, Phillip & Knaus, Michael C., 2022. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," IZA Discussion Papers 15580, Institute of Labor Economics (IZA).
- Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
- Martin Cousineau & Vedat Verter & Susan A. Murphy & Joelle Pineau, 2022. "Estimating causal effects with optimization-based methods: A review and empirical comparison," Papers 2203.00097, arXiv.org.
- Marica Valente & Timm Gries & Lorenzo Trapani, 2023. "Informal employment from migration shocks," Working Papers 2023-09, Faculty of Economics and Statistics, Universität Innsbruck.
- Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
- Nathan Kallus, 2022. "Treatment Effect Risk: Bounds and Inference," Papers 2201.05893, arXiv.org, revised Jul 2022.
- Nathan Kallus, 2023. "Treatment Effect Risk: Bounds and Inference," Management Science, INFORMS, vol. 69(8), pages 4579-4590, August.
- Guihua Wang & Jun Li & Wallace J. Hopp, 2022. "An Instrumental Variable Forest Approach for Detecting Heterogeneous Treatment Effects in Observational Studies," Management Science, INFORMS, vol. 68(5), pages 3399-3418, May.
- Costanza Naguib, 2023. "Is the Impact of Opening the Borders Heterogeneous?," Diskussionsschriften dp2312, Universitaet Bern, Departement Volkswirtschaft.
- Gregory Faletto, 2023. "Fused Extended Two-Way Fixed Effects for Difference-in-Differences With Staggered Adoptions," Papers 2312.05985, arXiv.org, revised Oct 2024.
- Nathan Kallus, 2022. "What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment," Papers 2205.10327, arXiv.org, revised Nov 2022.
- Krantz, Sebastian, 2024. "Mapping Africa's infrastructure potential with geospatial big data and causal ML," Kiel Working Papers 2276, Kiel Institute for the World Economy (IfW Kiel).
- Schaefer, Maximilian & Sapi, Geza, 2023.
"Complementarities in learning from data: Insights from general search,"
Information Economics and Policy, Elsevier, vol. 65(C).
- Maximilian Schäfer & Geza Sapi, 2023. "Complementarities in learning from data: insights from general search," Post-Print hal-04261926, HAL.
- Hui Lan & Vasilis Syrgkanis, 2023. "Causal Q-Aggregation for CATE Model Selection," Papers 2310.16945, arXiv.org, revised Nov 2023.
- Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
- Retsef Levi & Elisabeth Paulson & Georgia Perakis & Emily Zhang, 2024. "Heterogeneous Treatment Effects in Panel Data," Papers 2406.05633, arXiv.org.
- Rahul Singh, 2022. "Generalized Kernel Ridge Regression for Long Term Causal Inference: Treatment Effects, Dose Responses, and Counterfactual Distributions," Papers 2201.05139, arXiv.org.
- David M. Ritzwoller & Vasilis Syrgkanis, 2024. "Simultaneous Inference for Local Structural Parameters with Random Forests," Papers 2405.07860, arXiv.org, revised Sep 2024.
- Tomoshige Nakamura & Mihoko Minami, 2021. "Causal Subclassification Tree Algorithm and Robust Causal Effect Estimation via Subclassification," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 10(1), pages 1-40, January.
- Cousineau, Martin & Verter, Vedat & Murphy, Susan A. & Pineau, Joelle, 2023. "Estimating causal effects with optimization-based methods: A review and empirical comparison," European Journal of Operational Research, Elsevier, vol. 304(2), pages 367-380.