Aleksey Tetenov
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Toru Kitagawa & Shosei Sakaguchi & Aleksey Tetenov, 2021.
"Constrained Classification and Policy Learning,"
Papers
2106.12886, arXiv.org, revised Jul 2023.
Cited by:
- Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2021.
"Visual Inference and Graphical Representation in Regression Discontinuity Designs,"
Papers
2112.03096, arXiv.org, revised Jan 2023.
- Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2020. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," Working Papers 638, Princeton University, Department of Economics, Industrial Relations Section..
- Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2023. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1977-2019.
- Korting, Christina & Lieberman, Carl & Matsudaira, Jordan & Pei, Zhuan & Shen, Yi, 2021. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," IZA Discussion Papers 14923, Institute of Labor Economics (IZA).
- Takuya Ishihara & Toru Kitagawa, 2021. "Evidence Aggregation for Treatment Choice," Papers 2108.06473, arXiv.org, revised Jul 2024.
- Toru Kitagawa & Jeff Rowley, 2024. "Bandit algorithms for policy learning: methods, implementation, and welfare-performance," The Japanese Economic Review, Springer, vol. 75(3), pages 407-447, July.
- Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
- Toru Kitagawa & Weining Wang & Mengshan Xu, 2022. "Policy Choice in Time Series by Empirical Welfare Maximization," Papers 2205.03970, arXiv.org, revised Dec 2024.
- Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2021.
"Visual Inference and Graphical Representation in Regression Discontinuity Designs,"
Papers
2112.03096, arXiv.org, revised Jan 2023.
- Charles F. Manski & Aleksey Tetenov, 2020.
"Statistical Decision Properties of Imprecise Trials Assessing COVID-19 Drugs,"
NBER Working Papers
27293, National Bureau of Economic Research, Inc.
- Charles F. Manski & Aleksey Tetenov, 2020. "Statistical Decision Properties of Imprecise Trials Assessing COVID-19 Drugs," Papers 2006.00343, arXiv.org.
Cited by:
- John Mullahy, 2020. "Discovering Treatment Effectiveness via Median Treatment Effects—Applications to COVID-19 Clinical Trials," NBER Working Papers 27895, National Bureau of Economic Research, Inc.
- Depalo, Domenico, 2020.
"True Covid-19 mortality rates from administrative data,"
GLO Discussion Paper Series
630, Global Labor Organization (GLO).
- Domenico Depalo, 2021. "True COVID-19 mortality rates from administrative data," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 253-274, January.
- John Mullahy, 2021. "Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1050-1069, May.
- Toru Kitagawa & Aleksey Tetenov, 2017.
"Equality-minded treatment choice,"
CeMMAP working papers
CWP10/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2021. "Equality-Minded Treatment Choice," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 561-574, March.
- Toru Kitagawa & Aleksey Tetenov, 2018. "Equality-minded treatment choice," CeMMAP working papers CWP71/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Cited by:
- Shota FUJISHIMA & Tadao HOSHINO & Shinya SUGAWARA, 2020. "Heterogeneous Treatment Effects of Place-based Policies: Which Cities Should be Targeted?," Discussion papers 20036, Research Institute of Economy, Trade and Industry (RIETI).
- Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
- Susan Athey & Stefan Wager, 2017.
"Policy Learning with Observational Data,"
Papers
1702.02896, arXiv.org, revised Sep 2020.
- Susan Athey & Stefan Wager, 2021. "Policy Learning With Observational Data," Econometrica, Econometric Society, vol. 89(1), pages 133-161, January.
- Emily Breza & Arun G. Chandrasekhar & Davide Viviano, 2025. "Generalizability with ignorance in mind: learning what we do (not) know for archetypes discovery," Papers 2501.13355, arXiv.org.
- Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev, 2018.
"Functional Sequential Treatment Allocation,"
Papers
1812.09408, arXiv.org, revised Aug 2020.
- Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev, 2022. "Functional Sequential Treatment Allocation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(539), pages 1311-1323, September.
- Chunrong Ai & Yue Fang & Haitian Xie, 2024. "Data-driven Policy Learning for Continuous Treatments," Papers 2402.02535, arXiv.org, revised Nov 2024.
- Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Oct 2024.
- Toru Kitagawa & Jeff Rowley, 2024. "Bandit algorithms for policy learning: methods, implementation, and welfare-performance," The Japanese Economic Review, Springer, vol. 75(3), pages 407-447, July.
- Riccardo Di Francesco, 2022. "Aggregation Trees," CEIS Research Paper 546, Tor Vergata University, CEIS, revised 20 Nov 2023.
- Yuehao Bai & Azeem M. Shaikh & Max Tabord-Meehan, 2024. "A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances," Papers 2405.03910, arXiv.org.
- David Glynn & John Giardina & Julia Hatamyar & Ankur Pandya & Marta Soares & Noemi Kreif, 2024. "Integrating decision modeling and machine learning to inform treatment stratification," Health Economics, John Wiley & Sons, Ltd., vol. 33(8), pages 1772-1792, August.
- Anders Bredahl Kock & David Preinerstorfer, 2024. "Regularizing Discrimination in Optimal Policy Learning with Distributional Targets," Papers 2401.17909, arXiv.org.
- Hugo Bodory & Federica Mascolo & Michael Lechner, 2024. "Enabling Decision-Making with the Modified Causal Forest: Policy Trees for Treatment Assignment," Papers 2406.02241, arXiv.org.
- Daido Kido, 2022. "Distributionally Robust Policy Learning with Wasserstein Distance," Papers 2205.04637, arXiv.org, revised Aug 2022.
- Toru Kitagawa & Weining Wang & Mengshan Xu, 2022. "Policy Choice in Time Series by Empirical Welfare Maximization," Papers 2205.03970, arXiv.org, revised Dec 2024.
- Riccardo Di Francesco, 2024. "Aggregation Trees," Papers 2410.11408, arXiv.org.
- Ryo Okui, 2024. "The 2023 Japanese Economic Association Nakahara Prize: Recipient—Prof. Toru Kitagawa, Brown University and University College London," The Japanese Economic Review, Springer, vol. 75(3), pages 405-406, July.
- Kock, Anders Bredahl & Preinerstorfer, David & Veliyev, Bezirgen, 2023.
"Treatment recommendation with distributional targets,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 624-646.
- Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev, 2020. "Treatment recommendation with distributional targets," Papers 2005.09717, arXiv.org, revised Apr 2022.
- Dalia Ghanem & D'esir'e K'edagni & Ismael Mourifi'e, 2023. "Evaluating the Impact of Regulatory Policies on Social Welfare in Difference-in-Difference Settings," Papers 2306.04494, arXiv.org, revised Jun 2023.
- Timothy Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," IFS Working Papers WCWP28/24, Institute for Fiscal Studies.
- Aleksey Tetenov, 2016.
"An economic theory of statistical testing,"
CeMMAP working papers
CWP50/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Cited by:
- Ottaviani, Marco & Di Tillio, Alfredo & Sørensen, Peter Norman, 2016.
"Persuasion Bias in Science: Can Economics Help?,"
CEPR Discussion Papers
11343, C.E.P.R. Discussion Papers.
- Alfredo Di Tillio & Marco Ottaviani & Peter Norman Sørensen, 2017. "Persuasion Bias in Science: Can Economics Help?," Economic Journal, Royal Economic Society, vol. 127(605), pages 266-304, October.
- Alexander Frankel & Maximilian Kasy, 2022.
"Which Findings Should Be Published?,"
American Economic Journal: Microeconomics, American Economic Association, vol. 14(1), pages 1-38, February.
- Kasy, Maximilian & Frankel, Alexander, 2018. "Which findings should be published?," MetaArXiv mbvz3, Center for Open Science.
- Carneiro, Pedro & Lee, Sokbae & Wilhelm, Daniel, 2016.
"Optimal Data Collection for Randomized Control Trials,"
IZA Discussion Papers
9908, Institute of Labor Economics (IZA).
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 15/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 45/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers 15/16, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2019. "Optimal Data Collection for Randomized Control Trials," CeMMAP working papers CWP21/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2016. "Optimal Data Collection for Randomized Control Trials," Papers 1603.03675, arXiv.org, revised Aug 2016.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP45/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2020. "Optimal data collection for randomized control trials," The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 1-31.
- Maximilian Kasy & Jann Spiess, 2022. "Rationalizing Pre-Analysis Plans:Statistical Decisions Subject to Implementability," Economics Series Working Papers 975, University of Oxford, Department of Economics.
- Maximilian Kasy & Jann Spiess, 2022.
"Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability,"
Papers
2208.09638, arXiv.org, revised Jul 2024.
- Maximilian Kasy & Jann Spiess, 2024. "Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability," CESifo Working Paper Series 11258, CESifo.
- Kasy, Maximilian & Spiess, Jann, 2024. "Optimal Pre-analysis Plans: Statistical Decisions Subject to Implementability," IZA Discussion Papers 17187, Institute of Labor Economics (IZA).
- Chiu, Ching-Wai (Jeremy) & Hayes, Simon & Kapetanios, George & Theodoridis, Konstantinos, 2019.
"A new approach for detecting shifts in forecast accuracy,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1596-1612.
- Chiu, Ching-Wai (Jeremy) & hayes, simon & kapetanios, george & Theodoridis, Konstantinos, 2018. "A new approach for detecting shifts in forecast accuracy," Bank of England working papers 721, Bank of England.
- Chiu,Ching-Wai & Hayes, Simon & Kapetanios, George & Theodoridis, Konstantinos, 2018. "A New Approach for Detecting Shifts in Forecast Accuracy," Cardiff Economics Working Papers E2018/24, Cardiff University, Cardiff Business School, Economics Section.
- Ottaviani, Marco & Di Tillio, Alfredo & Sørensen, Peter Norman, 2017.
"Strategic Sample Selection,"
CEPR Discussion Papers
12202, C.E.P.R. Discussion Papers.
- Alfredo Di Tillio & Marco Ottaviani & Peter Norman Sørensen, 2021. "Strategic Sample Selection," Econometrica, Econometric Society, vol. 89(2), pages 911-953, March.
- Furukawa, Chishio, 2019. "Publication Bias under Aggregation Frictions: Theory, Evidence, and a New Correction Method," EconStor Preprints 194798, ZBW - Leibniz Information Centre for Economics.
- Charles F. Manski & Aleksey Tetenov, 2019. "Trial Size for Near-Optimal Choice Between Surveillance and Aggressive Treatment: Reconsidering MSLT-II," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 305-311, March.
- Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "A model of multiple hypothesis testing," Papers 2104.13367, arXiv.org, revised Jan 2025.
- Ottaviani, Marco & Di Tillio, Alfredo & Sørensen, Peter Norman, 2016.
"Persuasion Bias in Science: Can Economics Help?,"
CEPR Discussion Papers
11343, C.E.P.R. Discussion Papers.
- Toru Kitagawa & Aleksey Tetenov, 2015.
"Who should be Treated? Empirical Welfare Maximization Methods for Treatment Choice,"
Carlo Alberto Notebooks
402, Collegio Carlo Alberto.
- Toru Kitagawa & Aleksey Tetenov, 2018. "Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice," Econometrica, Econometric Society, vol. 86(2), pages 591-616, March.
- Toru Kitagawa & Aleksey Tetenov, 2017. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP24/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP10/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Cited by:
- Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
- Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021.
"Testing identifying assumptions in fuzzy regression discontinuity designs,"
CeMMAP working papers
CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2019. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP10/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifie & Yuanyuan Wan, 2018. "Testing Identifying Assumptions In Fuzzy Regression Discontinuity Designs," Working Papers tecipa-623, University of Toronto, Department of Economics.
- Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
- Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2018. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP50/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Manski, Charles F., 2023.
"Probabilistic prediction for binary treatment choice: With focus on personalized medicine,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.
- Charles F. Manski, 2021. "Probabilistic Prediction for Binary Treatment Choice: with focus on personalized medicine," Papers 2110.00864, arXiv.org.
- Charles F. Manski, 2021. "Probabilistic Prediction for Binary Treatment Choice: with Focus on Personalized Medicine," NBER Working Papers 29358, National Bureau of Economic Research, Inc.
- Lihua Lei & Roshni Sahoo & Stefan Wager, 2023. "Policy Learning under Biased Sample Selection," Papers 2304.11735, arXiv.org.
- Cordier, J.; & Salvi, I.; & Steinbeck, V.; & Geissler, A.; & Vogel, J.;, 2023. "Is rapid recovery always the best recovery? - Developing a machine learning approach for optimal assignment rules under capacity constraints for knee replacement patients," Health, Econometrics and Data Group (HEDG) Working Papers 23/08, HEDG, c/o Department of Economics, University of York.
- Toru Kitagawa & Aleksey Tetenov, 2018.
"Equality-minded treatment choice,"
CeMMAP working papers
CWP71/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2017. "Equality-minded treatment choice," CeMMAP working papers CWP10/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2021. "Equality-Minded Treatment Choice," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 561-574, March.
- Huber, Martin, 2019.
"An introduction to flexible methods for policy evaluation,"
FSES Working Papers
504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
- Maximilian Kasy & Anja Sautmann, 2019.
"Adaptive Treatment Assignment in Experiments for Policy Choice,"
CESifo Working Paper Series
7778, CESifo.
- Maximilian Kasy & Anja Sautmann, 2021. "Adaptive Treatment Assignment in Experiments for Policy Choice," Econometrica, Econometric Society, vol. 89(1), pages 113-132, January.
- Yi Zhang & Kosuke Imai, 2023. "Individualized Policy Evaluation and Learning under Clustered Network Interference," Papers 2311.02467, arXiv.org, revised Feb 2024.
- Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2020.
"The Insights and Illusions of Consumption Measurements,"
IZA Discussion Papers
13222, Institute of Labor Economics (IZA).
- Battistin,Erich & De Nadai,Michele & Krishnan,Nandini, 2020. "The Insights and Illusions of Consumption Measurements," Policy Research Working Paper Series 9255, The World Bank.
- Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2020. "The Insights and Illusions of Consumption Measurements," CEPR Discussion Papers 14730, C.E.P.R. Discussion Papers.
- Susan Athey & Guido Imbens, 2019.
"Machine Learning Methods Economists Should Know About,"
Papers
1903.10075, arXiv.org.
- Athey, Susan & Imbens, Guido W., 2019. "Machine Learning Methods Economists Should Know About," Research Papers 3776, Stanford University, Graduate School of Business.
- Le-Yu Chen & Sokbae (Simon) Lee, 2017.
"Exact computation of GMM estimators for instrumental variable quantile regression models,"
CeMMAP working papers
CWP52/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Exact computation of GMM estimators for instrumental variable quantile regression models," CeMMAP working papers 52/17, Institute for Fiscal Studies.
- Le‐Yu Chen & Sokbae Lee, 2018. "Exact computation of GMM estimators for instrumental variable quantile regression models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(4), pages 553-567, June.
- Tadao Hoshino & Takahide Yanagi, 2020.
"Estimating Marginal Treatment Effects under Unobserved Group Heterogeneity,"
Papers
2001.09560, arXiv.org, revised May 2022.
- Hoshino Tadao & Yanagi Takahide, 2022. "Estimating marginal treatment effects under unobserved group heterogeneity," Journal of Causal Inference, De Gruyter, vol. 10(1), pages 197-216, January.
- Le-Yu Chen & Sokbae Lee, 2016.
"Best Subset Binary Prediction,"
Papers
1610.02738, arXiv.org, revised May 2018.
- Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Best subset binary prediction," CeMMAP working papers 50/17, Institute for Fiscal Studies.
- Chen, Le-Yu & Lee, Sokbae, 2018. "Best subset binary prediction," Journal of Econometrics, Elsevier, vol. 206(1), pages 39-56.
- Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Best subset binary prediction," CeMMAP working papers CWP50/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Vira Semenova, 2023. "Aggregated Intersection Bounds and Aggregated Minimax Values," Papers 2303.00982, arXiv.org, revised Jun 2024.
- Aldo Gael Carranza & Susan Athey, 2023.
"Federated Offline Policy Learning,"
Papers
2305.12407, arXiv.org, revised Oct 2024.
- Carranza, Aldo Gael & Athey, Susan, 2024. "Federated Offline Policy Learning," Research Papers 4215, Stanford University, Graduate School of Business.
- Lehrer, Steven F. & Pohl, R. Vincent & Song, Kyungchul, 2018.
"Multiple Testing and the Distributional Effects of Accountability Incentives in Education,"
MPRA Paper
89532, University Library of Munich, Germany.
- Steven F. Lehrer & R. Vincent Pohl & Kyungchul Song, 2022. "Multiple Testing and the Distributional Effects of Accountability Incentives in Education," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1552-1568, October.
- Lehrer, Steven F. & Pohl, R. Vincent & Song, Kyungchul, 2019. "Multiple testing and the distributional effects of accountability incentives in education," Ruhr Economic Papers 799, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2023. "The insights and illusions of consumption measurements," Journal of Development Economics, Elsevier, vol. 161(C).
- Alejandro Sanchez-Becerra, 2023. "Robust inference for the treatment effect variance in experiments using machine learning," Papers 2306.03363, arXiv.org.
- Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
- Vegard M. Nygaard & Bent E. S{o}rensen & Fan Wang, 2022.
"Optimal allocations to heterogeneous agents with an application to stimulus checks,"
Papers
2204.03799, arXiv.org.
- Sørensen, Bent E & Nygaard, Vegard M. & Wang, Fan, 2020. "Optimal allocations to heterogeneous agents with an application to stimulus checks," CEPR Discussion Papers 15283, C.E.P.R. Discussion Papers.
- Nygaard, Vegard M. & Sørensen, Bent E. & Wang, Fan, 2022. "Optimal allocations to heterogeneous agents with an application to stimulus checks," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018.
"Inference on winners,"
CeMMAP working papers
CWP73/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2024. "Inference on Winners," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(1), pages 305-358.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2020. "Inference on winners," CeMMAP working papers CWP43/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2019. "Inference on Winners," NBER Working Papers 25456, National Bureau of Economic Research, Inc.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018. "Inference on winners," CeMMAP working papers CWP31/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Juliano Assunção & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," NBER Working Papers 25636, National Bureau of Economic Research, Inc.
- Susan Athey & Stefan Wager, 2017.
"Policy Learning with Observational Data,"
Papers
1702.02896, arXiv.org, revised Sep 2020.
- Susan Athey & Stefan Wager, 2021. "Policy Learning With Observational Data," Econometrica, Econometric Society, vol. 89(1), pages 133-161, January.
- Max Tabord-Meehan, 2023.
"Stratification Trees for Adaptive Randomisation in Randomised Controlled Trials,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2646-2673.
- Max Tabord-Meehan, 2018. "Stratification Trees for Adaptive Randomization in Randomized Controlled Trials," Papers 1806.05127, arXiv.org, revised Jul 2022.
- Emily Breza & Arun G. Chandrasekhar & Davide Viviano, 2025. "Generalizability with ignorance in mind: learning what we do (not) know for archetypes discovery," Papers 2501.13355, arXiv.org.
- Weibin Mo & Yufeng Liu, 2022. "Efficient learning of optimal individualized treatment rules for heteroscedastic or misspecified treatment‐free effect models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 440-472, April.
- Daniel F. Pellatt, 2022. "PAC-Bayesian Treatment Allocation Under Budget Constraints," Papers 2212.09007, arXiv.org, revised Jun 2023.
- Santiago Acerenza & Vitor Possebom & Pedro H. C. Sant'Anna, 2023. "Was Javert right to be suspicious? Unpacking treatment effect heterogeneity of alternative sentences on time-to-recidivism in Brazil," Papers 2311.13969, arXiv.org, revised Jan 2025.
- Mert Demirer & Vasilis Syrgkanis & Greg Lewis & Victor Chernozhukov, 2019.
"Semi-Parametric Efficient Policy Learning with Continuous Actions,"
Papers
1905.10116, arXiv.org, revised Jul 2019.
- Mert Demirer & Vasilis Syrgkanis & Greg Lewis & Victor Chernozhukov, 2019. "Semi-Parametric Efficient Policy Learning with Continuous Actions," CeMMAP working papers CWP34/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Koichiro Ito & Takanori Ida & Makoto Tanaka, 2021.
"Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice,"
Working Papers
2021-12, Becker Friedman Institute for Research In Economics.
- Koichiro ITO & Takanori IDA & Makoto TANAKA, 2021. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," Discussion papers 21008, Research Institute of Economy, Trade and Industry (RIETI).
- Koichiro Ito & Takanori Ida & Makoto Tanaka, 2021. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," NBER Working Papers 28413, National Bureau of Economic Research, Inc.
- Koichiro Ito & Takanori Ida & Makoto Tanaka, 2023. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," American Economic Review, American Economic Association, vol. 113(11), pages 2937-2973, November.
- Gyungbae Park, 2024. "Debiased Machine Learning when Nuisance Parameters Appear in Indicator Functions," Papers 2403.15934, arXiv.org, revised Mar 2025.
- Charles F. Manski, 2019. "Statistical inference for statistical decisions," Papers 1909.06853, arXiv.org.
- Roshni Sahoo & Stefan Wager, 2022. "Policy Learning with Competing Agents," Papers 2204.01884, arXiv.org, revised Apr 2024.
- Knaus, Michael C., 2020.
"Double Machine Learning Based Program Evaluation under Unconfoundedness,"
IZA Discussion Papers
13051, Institute of Labor Economics (IZA).
- Michael C Knaus, 2022. "Double machine learning-based programme evaluation under unconfoundedness [Econometric methods for program evaluation]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 602-627.
- Michael C. Knaus, 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Papers 2003.03191, arXiv.org, revised Jun 2022.
- Knaus, Michael C., 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Economics Working Paper Series 2004, University of St. Gallen, School of Economics and Political Science.
- Zhan, Ruohan & Ren, Zhimei & Athey, Susan & Zhou, Zhengyuan, 2021.
"Policy Learning with Adaptively Collected Data,"
Research Papers
3963, Stanford University, Graduate School of Business.
- Ruohan Zhan & Zhimei Ren & Susan Athey & Zhengyuan Zhou, 2024. "Policy Learning with Adaptively Collected Data," Management Science, INFORMS, vol. 70(8), pages 5270-5297, August.
- Ruohan Zhan & Zhimei Ren & Susan Athey & Zhengyuan Zhou, 2021. "Policy Learning with Adaptively Collected Data," Papers 2105.02344, arXiv.org, revised Nov 2022.
- Daido Kido, 2023. "Locally Asymptotically Minimax Statistical Treatment Rules Under Partial Identification," Papers 2311.08958, arXiv.org.
- Achim Ahrens & Alessandra Stampi-Bombelli & Selina Kurer & Dominik Hangartner, 2023.
"Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization,"
Papers
2305.00545, arXiv.org, revised Feb 2024.
- Achim Ahrens & Alessandra Stampi‐Bombelli & Selina Kurer & Dominik Hangartner, 2024. "Optimal multi‐action treatment allocation: A two‐phase field experiment to boost immigrant naturalization," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1379-1395, November.
- Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2022.
"Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs,"
NBER Working Papers
30469, National Bureau of Economic Research, Inc.
- Takanori IDA & Takunori ISHIHARA & Koichiro ITO & Daido KIDO & Toru KITAGAWA & Shosei SAKAGUCHI & Shusaku SASAKI, 2023. "Choosing Who Chooses: Selection-driven targeting in energy rebate programs," Discussion papers 23011, Research Institute of Economy, Trade and Industry (RIETI).
- Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev, 2018.
"Functional Sequential Treatment Allocation,"
Papers
1812.09408, arXiv.org, revised Aug 2020.
- Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev, 2022. "Functional Sequential Treatment Allocation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(539), pages 1311-1323, September.
- Eric Mbakop & Max Tabord‐Meehan, 2021.
"Model Selection for Treatment Choice: Penalized Welfare Maximization,"
Econometrica, Econometric Society, vol. 89(2), pages 825-848, March.
- Eric Mbakop & Max Tabord-Meehan, 2016. "Model Selection for Treatment Choice: Penalized Welfare Maximization," Papers 1609.03167, arXiv.org, revised Dec 2020.
- Yuya Sasaki & Takuya Ura, 2020. "Welfare Analysis via Marginal Treatment Effects," Papers 2012.07624, arXiv.org.
- Takuya Ishihara & Toru Kitagawa, 2021. "Evidence Aggregation for Treatment Choice," Papers 2108.06473, arXiv.org, revised Jul 2024.
- Kline, Patrick & Walters, Christopher, 2019.
"Audits as Evidence: Experiments, Ensembles, and Enforcement,"
Institute for Research on Labor and Employment, Working Paper Series
qt3z72m9kn, Institute of Industrial Relations, UC Berkeley.
- Patrick Kline & Christopher Walters, 2019. "Audits as Evidence: Experiments, Ensembles, and Enforcement," Papers 1907.06622, arXiv.org, revised Jul 2019.
- Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Shosei Sakaguchi, 2021. "Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints," Papers 2106.05031, arXiv.org, revised Aug 2024.
- Peter Christensen & Paul Francisco & Erica Myers & Hansen Shao & Mateus Souza, 2022.
"Energy Efficiency Can Deliver for Climate Policy: Evidence from Machine Learning-Based Targeting,"
NBER Working Papers
30467, National Bureau of Economic Research, Inc.
- Christensen, Peter & Francisco, Paul & Myers, Erica & Shao, Hansen & Souza, Mateus, 2024. "Energy efficiency can deliver for climate policy: Evidence from machine learning-based targeting," Journal of Public Economics, Elsevier, vol. 234(C).
- Toru Kitagawa & Shosei Sakaguchi & Aleksey Tetenov, 2021. "Constrained Classification and Policy Learning," Papers 2106.12886, arXiv.org, revised Jul 2023.
- Zhengyuan Zhou & Susan Athey & Stefan Wager, 2018.
"Offline Multi-Action Policy Learning: Generalization and Optimization,"
Papers
1810.04778, arXiv.org, revised Nov 2018.
- Zhengyuan Zhou & Susan Athey & Stefan Wager, 2023. "Offline Multi-Action Policy Learning: Generalization and Optimization," Operations Research, INFORMS, vol. 71(1), pages 148-183, January.
- Zhou, Zhengyuan & Athey, Susan & Wager, Stefan, 2018. "Offline Multi-Action Policy Learning: Generalization and Optimization," Research Papers 3734, Stanford University, Graduate School of Business.
- Marianne Bertrand & Bruno Crépon & Alicia Marguerie & Patrick Premand, 2021.
"Do Workfare Programs Live Up to Their Promises? Experimental Evidence from Cote D’Ivoire,"
NBER Working Papers
28664, National Bureau of Economic Research, Inc.
- Bertrand,Marianne & Crepon,Bruno Jacques Jean Philippe & Marguerie,Alicia Charlene & Premand,Patrick, 2021. "Do Workfare Programs Live Up to Their Promises ? Experimental Evidence from Côte d’Ivoire," Policy Research Working Paper Series 9611, The World Bank.
- Anders Bredahl Kock & Martin Thyrsgaard, 2017. "Optimal sequential treatment allocation," Papers 1705.09952, arXiv.org, revised Aug 2018.
- Garbero, Alessandra & Sakos, Grayson & Cerulli, Giovanni, 2023.
"Towards data-driven project design: Providing optimal treatment rules for development projects,"
Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
- Garbero, Alessandra & Sakos, Grayson & Cerulli, Giovanni, 2021. "Towards Data-driven Project design: Providing Optimal Treatment Rules for Development Projects," 2021 Annual Meeting, August 1-3, Austin, Texas 314016, Agricultural and Applied Economics Association.
- Augustine Denteh & Helge Liebert, 2022.
"Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment,"
Working Papers
2201, Tulane University, Department of Economics.
- Denteh, Augustine & Liebert, Helge, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," IZA Discussion Papers 15192, Institute of Labor Economics (IZA).
- Augustine Denteh & Helge Liebert, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," Papers 2201.07072, arXiv.org, revised Apr 2023.
- Augustine Denteh & Helge Liebert, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," CESifo Working Paper Series 9664, CESifo.
- Saskia Opitz & Dirk Sliwka & Timo Vogelsang & Tom Zimmermann, 2022. "The Targeted Assignment of Incentive Schemes," ECONtribute Discussion Papers Series 187, University of Bonn and University of Cologne, Germany.
- Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
- Chunrong Ai & Yue Fang & Haitian Xie, 2024. "Data-driven Policy Learning for Continuous Treatments," Papers 2402.02535, arXiv.org, revised Nov 2024.
- Jeff Dominitz & Charles F. Manski, 2024.
"Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory,"
NBER Working Papers
32269, National Bureau of Economic Research, Inc.
- Jeff Dominitz & Charles F. Manski, 2024. "Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory," Papers 2403.11016, arXiv.org, revised May 2024.
- Toru Kitagawa & Aleksey Tetenov, 2017. "Equality-minded treatment choice," CeMMAP working papers 10/17, Institute for Fiscal Studies.
- Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.
- Daido Kido, 2023. "Incorporating Preferences Into Treatment Assignment Problems," Papers 2311.08963, arXiv.org.
- Youngki Shin & Zvezdomir Todorov, 2021.
"Exact Computation of Maximum Rank Correlation Estimator,"
Department of Economics Working Papers
2021-03, McMaster University.
- Youngki Shin & Zvezdomir Todorov, 2021. "Exact computation of maximum rank correlation estimator," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 589-607.
- Youngki Shin & Zvezdomir Todorov, 2020. "Exact Computation of Maximum Rank Correlation Estimator," Papers 2009.03844, arXiv.org, revised Jan 2021.
- Sergio Firpo & Antonio F. Galvao & Martyna Kobus & Thomas Parker & Pedro Rosa-Dias, 2020.
"Loss aversion and the welfare ranking of policy interventions,"
Papers
2004.08468, arXiv.org, revised Sep 2023.
- Firpo, Sergio & Galvao, Antonio F. & Kobus, Martyna & Parker, Thomas & Rosa-Dias, Pedro, 2020. "Loss Aversion and the Welfare Ranking of Policy Interventions," IZA Discussion Papers 13176, Institute of Labor Economics (IZA).
- Kohei Yata, 2021. "Optimal Decision Rules Under Partial Identification," Papers 2111.04926, arXiv.org, revised Mar 2025.
- Samuel Higbee, 2022. "Policy Learning with New Treatments," Papers 2210.04703, arXiv.org, revised Sep 2023.
- Andrew Bennett & Nathan Kallus, 2020. "Efficient Policy Learning from Surrogate-Loss Classification Reductions," Papers 2002.05153, arXiv.org.
- Karun Adusumilli & Friedrich Geiecke & Claudio Schilter, 2019. "Dynamically Optimal Treatment Allocation," Papers 1904.01047, arXiv.org, revised Nov 2024.
- Abhijit Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2017.
"A Theory of Experimenters,"
NBER Working Papers
23867, National Bureau of Economic Research, Inc.
- Abhijit Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2017. "A Theory of Experimenters," CESifo Working Paper Series 6678, CESifo.
- Charles F. Manski, 2020. "Towards Reasonable Patient Care Under Uncertainty," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 227-245, April.
- Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
- Kenshi Abe & Yusuke Kaneko, 2020. "Off-Policy Exploitability-Evaluation in Two-Player Zero-Sum Markov Games," Papers 2007.02141, arXiv.org, revised Dec 2020.
- Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2022. "Best Arm Identification with Contextual Information under a Small Gap," Papers 2209.07330, arXiv.org, revised Jan 2023.
- Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021.
"Optimal Targeting in Fundraising: A Machine-Learning Approach,"
CESifo Working Paper Series
9037, CESifo.
- Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Machine-Learning Approach," Economics working papers 2021-08, Department of Economics, Johannes Kepler University Linz, Austria.
- Toru Kitagawa & Guanyi Wang, 2020. "Who Should Get Vaccinated? Individualized Allocation of Vaccines Over SIR Network," Papers 2012.04055, arXiv.org, revised Jul 2021.
- Charles F. Manski & Aleksey Tetenov, 2023.
"Statistical Decision Theory Respecting Stochastic Dominance,"
Papers
2308.05171, arXiv.org.
- Charles F. Manski & Aleksey Tetenov, 2023. "Statistical decision theory respecting stochastic dominance," The Japanese Economic Review, Springer, vol. 74(4), pages 447-469, October.
- Keisuke Hirano & Jack R. Porter, 2016.
"Panel Asymptotics and Statistical Decision Theory,"
The Japanese Economic Review, Springer, vol. 67(1), pages 33-49, March.
- Keisuke Hirano & Jack R. Porter, 2016. "Panel Asymptotics and Statistical Decision Theory," The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 33-49, March.
- Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.
- Julia Hatamyar & Noemi Kreif, 2023. "Policy Learning with Rare Outcomes," Papers 2302.05260, arXiv.org, revised Oct 2023.
- Neil Christy & Amanda Ellen Kowalski, 2024. "Counting Defiers in Health Care: A Design-Based Model of an Experiment Can Reveal Evidence Against Monotonicity," Papers 2412.16352, arXiv.org, revised Mar 2025.
- Hema Yoganarasimhan & Ebrahim Barzegary & Abhishek Pani, 2020. "Design and Evaluation of Personalized Free Trials," Papers 2006.13420, arXiv.org.
- Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Oct 2024.
- Toru Kitagawa & Guanyi Wang, 2020. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP59/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Jeff Rowley, 2024. "Bandit algorithms for policy learning: methods, implementation, and welfare-performance," The Japanese Economic Review, Springer, vol. 75(3), pages 407-447, July.
- Davide Viviano & Jelena Bradic, 2020. "Fair Policy Targeting," Papers 2005.12395, arXiv.org, revised Jun 2022.
- Marco Castillo & Sera Linardi & Ragan Petrie, 2024.
"Recidivism and Barriers to Reintegration: A Field Experiment Encouraging Use of Reentry Support,"
CESifo Working Paper Series
11554, CESifo.
- Castillo, Marco & Linardi, Sera & Petrie, Ragan, 2024. "Recidivism and Barriers to Reintegration: A Field Experiment Encouraging Use of Reentry Support," IZA Discussion Papers 17522, Institute of Labor Economics (IZA).
- 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.
- Isaiah Andrews & Jesse M. Shapiro, 2021.
"A Model of Scientific Communication,"
Econometrica, Econometric Society, vol. 89(5), pages 2117-2142, September.
- Isaiah Andrews & Jesse M. Shapiro, 2020. "A Model of Scientific Communication," NBER Working Papers 26824, National Bureau of Economic Research, Inc.
- Kasy, Maximilian, 2024.
"The Political Economy of AI: Towards Democratic Control of the Means of Prediction,"
IZA Discussion Papers
16948, Institute of Labor Economics (IZA).
- Maximilian Kasy, 2023. "The political economy of AI: Towards democratic control of the means of prediction," Economics Series Working Papers 1014, University of Oxford, Department of Economics.
- Kasy, Maximilian, 2023. "The political economy of AI: Towards democratic control of the means of prediction," INET Oxford Working Papers 2023-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
- Kasy, Maximilian, 2023. "The Political Economy of AI: Towards Democratic Control of the Means of Prediction," SocArXiv x7pcy, Center for Open Science.
- Yusuke Narita, 2019.
"Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials,"
Working Papers
2019-025, Human Capital and Economic Opportunity Working Group.
- Yusuke Narita, 2018. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Cowles Foundation Discussion Papers 2127r, Cowles Foundation for Research in Economics, Yale University, revised May 2019.
- Juan Carlos Perdomo, 2023. "The Relative Value of Prediction in Algorithmic Decision Making," Papers 2312.08511, arXiv.org, revised May 2024.
- A. Stefano Caria & Grant Gordon & Maximilian Kasy & Simon Quinn & Soha Shami & Alexander Teytelboym, 2020.
"An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan,"
CSAE Working Paper Series
2020-20, Centre for the Study of African Economies, University of Oxford.
- Quinn, Simon & Caria, Stefano & Gordon, Grant & Kasy, Maximilian & Shami, Soha & Teytelboym, Alexander, 2020. "An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan," CEPR Discussion Papers 15359, C.E.P.R. Discussion Papers.
- A Stefano Caria & Grant Gordon & Maximilian Kasy & Simon Quinn & Soha Osman Shami & Alexander Teytelboym, 2024. "An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan," Journal of the European Economic Association, European Economic Association, vol. 22(2), pages 781-836.
- Caria, Stefano & Gordon, Grant & Kasy, Maximilian & Quinn, Simon & Shami, Soha & Teytelboym, Alexander, 2021. "An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan," CAGE Online Working Paper Series 547, Competitive Advantage in the Global Economy (CAGE).
- Caria, Stefano & Gordon, Grant & Kasy, Maximilian & Quinn, Simon & Shami, Soha & Teytelboym, Alexander, 2021. "An Adaptive Targeted Field Experiment : Job Search Assistance for Refugees in Jordan," The Warwick Economics Research Paper Series (TWERPS) 1335, University of Warwick, Department of Economics.
- Stefano Caria & Grant Gordon & Maximilian Kasy & Simon Quinn & Soha Shami & Alexander Teytelboym, 2020. "An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan," CESifo Working Paper Series 8535, CESifo.
- Jiawei Fu & Tara Slough, 2024. "Heterogeneous Treatment Effects and Causal Mechanisms," Papers 2404.01566, arXiv.org, revised Jan 2025.
- Giovanni Cerulli, 2020. "Optimal Policy Learning: From Theory to Practice," Papers 2011.04993, arXiv.org.
- Li Michael Lingzhi & Imai Kosuke, 2024. "Neyman meets causal machine learning: Experimental evaluation of individualized treatment rules," Journal of Causal Inference, De Gruyter, vol. 12(1), pages 1-20.
- Federico Crippa, 2024. "Regret Analysis in Threshold Policy Design," Papers 2404.11767, arXiv.org.
- Kasy, Maximilian, 2023. "The Political Economy of AI: Towards Democratic Control of the Means of Prediction," SocArXiv x7pcy_v1, Center for Open Science.
- Ashesh Rambachan & Amanda Coston & Edward Kennedy, 2022. "Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding," Papers 2212.09844, arXiv.org, revised May 2024.
- Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
- Yuchen Hu & Henry Zhu & Emma Brunskill & Stefan Wager, 2024. "Minimax-Regret Sample Selection in Randomized Experiments," Papers 2403.01386, arXiv.org, revised Jun 2024.
- Yuehao Bai & Azeem M. Shaikh & Max Tabord-Meehan, 2024. "A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances," Papers 2405.03910, arXiv.org.
- Walter W. Zhang & Sanjog Misra, 2022. "Coarse Personalization," Papers 2204.05793, arXiv.org, revised Aug 2024.
- Harrison H. Li & Art B. Owen, 2023. "Double machine learning and design in batch adaptive experiments," Papers 2309.15297, arXiv.org.
- Charles F. Manski, 2019.
"Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald,"
Papers
1912.08726, arXiv.org, revised Feb 2021.
- Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," NBER Working Papers 26596, National Bureau of Economic Research, Inc.
- Charles F. Manski, 2021. "Econometrics for Decision Making: Building Foundations Sketched by Haavelmo and Wald," Econometrica, Econometric Society, vol. 89(6), pages 2827-2853, November.
- Anders Bredahl Kock & David Preinerstorfer, 2024. "Regularizing Discrimination in Optimal Policy Learning with Distributional Targets," Papers 2401.17909, arXiv.org.
- Kock, Anders Bredahl & Preinerstorfer, David & Veliyev, Bezirgen, 2024.
"Functional Sequential Treatment Allocation With Covariates,"
Econometric Theory, Cambridge University Press, vol. 40(6), pages 1211-1252, December.
- Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev, 2020. "Functional Sequential Treatment Allocation with Covariates," Papers 2001.10996, arXiv.org.
- Zhengyu Zhang & Zequn Jin & Lihua Lin, 2024. "Identification and inference of outcome conditioned partial effects of general interventions," Papers 2407.16950, arXiv.org.
- Maximilian Blesch & Philipp Eisenhauer, 2023. "Robust Decision-Making under Risk and Ambiguity," Rationality and Competition Discussion Paper Series 463, CRC TRR 190 Rationality and Competition.
- Xiaohong Chen & Zhengling Qi & Runzhe Wan, 2023. "STEEL: Singularity-aware Reinforcement Learning," Papers 2301.13152, arXiv.org, revised Jun 2024.
- Hugo Bodory & Federica Mascolo & Michael Lechner, 2024. "Enabling Decision-Making with the Modified Causal Forest: Policy Trees for Treatment Assignment," Papers 2406.02241, arXiv.org.
- Shosei Sakaguchi, 2024. "Robust Learning for Optimal Dynamic Treatment Regimes with Observational Data," Papers 2404.00221, arXiv.org, revised Feb 2025.
- Nathan Kallus, 2022. "Treatment Effect Risk: Bounds and Inference," Papers 2201.05893, arXiv.org, revised Jul 2022.
- Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
- Charles F. Manski, 2019. "Meta-Analysis for Medical Decisions," NBER Working Papers 25504, National Bureau of Economic Research, Inc.
- Daido Kido, 2022. "Distributionally Robust Policy Learning with Wasserstein Distance," Papers 2205.04637, arXiv.org, revised Aug 2022.
- Toru Kitagawa & Weining Wang & Mengshan Xu, 2022. "Policy Choice in Time Series by Empirical Welfare Maximization," Papers 2205.03970, arXiv.org, revised Dec 2024.
- Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020.
"Robust Forecasting,"
PIER Working Paper Archive
20-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
- Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Causal Machine-Learning Approach," Papers 2103.10251, arXiv.org, revised Sep 2021.
- Battiston, Pietro & Gamba, Simona & Santoro, Alessandro, 2024. "Machine learning and the optimization of prediction-based policies," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
- Bilias, Yannis & Florios, Kostas & Skouras, Spyros, 2019. "Exact computation of Censored Least Absolute Deviations estimator," Journal of Econometrics, Elsevier, vol. 212(2), pages 584-606.
- Guido W. Imbens, 2020.
"Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics,"
Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
- Guido Imbens, 2019. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," NBER Working Papers 26104, National Bureau of Economic Research, Inc.
- Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2022.
"(Machine) Learning What Policies Value,"
Papers
2206.00727, arXiv.org.
- Bjorkegren, Dan & Blumenstock, Joshua & Knight, Samsun, 2022. "(Machine) Learning What Policies Value," CEPR Discussion Papers 17364, C.E.P.R. Discussion Papers.
- Li,Shanjun & Xing,Jianwei & Yang,Lin & Zhang,Fan, 2020. "Transportation and the Environment : A Review of Empirical Literature," Policy Research Working Paper Series 9421, The World Bank.
- Toru Kitagawa & Jeff Rowley, 2022. "von Mises-Fisher distributions and their statistical divergence," Papers 2202.05192, arXiv.org, revised Nov 2022.
- Toru Kitagawa & Hugo Lopez & Jeff Rowley, 2022. "Stochastic Treatment Choice with Empirical Welfare Updating," Papers 2211.01537, arXiv.org, revised Feb 2023.
- Ryo Okui, 2024. "The 2023 Japanese Economic Association Nakahara Prize: Recipient—Prof. Toru Kitagawa, Brown University and University College London," The Japanese Economic Review, Springer, vol. 75(3), pages 405-406, July.
- Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
- Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Dillon Bowen, 2022. "Simple models predict behavior at least as well as behavioral scientists," Papers 2208.01167, arXiv.org.
- Xiaoxue Sherry Gao & Glenn W. Harrison & Rusty Tchernis, 2023. "Behavioral welfare economics and risk preferences: a Bayesian approach," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 273-303, April.
- Le-Yu Chen & Sokbae Lee, 2018. "High Dimensional Classification through $\ell_0$-Penalized Empirical Risk Minimization," Papers 1811.09540, arXiv.org.
- Kock, Anders Bredahl & Preinerstorfer, David & Veliyev, Bezirgen, 2023.
"Treatment recommendation with distributional targets,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 624-646.
- Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev, 2020. "Treatment recommendation with distributional targets," Papers 2005.09717, arXiv.org, revised Apr 2022.
- Christopher Adjaho & Timothy Christensen, 2022. "Externally Valid Policy Choice," Papers 2205.05561, arXiv.org, revised Jul 2023.
- Yu-Chang Chen & Haitian Xie, 2022. "Personalized Subsidy Rules," Papers 2202.13545, arXiv.org, revised Mar 2022.
- Timothy Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," IFS Working Papers WCWP28/24, Institute for Fiscal Studies.
- Juliano Assuncao & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," Working Papers tecipa-631, University of Toronto, Department of Economics.
- Seungjin Han & Julius Owusu & Youngki Shin, 2022. "Statistical Treatment Rules under Social Interaction," Papers 2209.09077, arXiv.org, revised Nov 2022.
- Haitian Xie, 2020. "Finite-Sample Average Bid Auction," Papers 2008.10217, arXiv.org, revised Feb 2022.
- Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
- Johannes Haushofer & Paul Niehaus & Carlos Paramo & Edward Miguel & Michael W. Walker, 2022.
"Targeting Impact versus Deprivation,"
NBER Working Papers
30138, National Bureau of Economic Research, Inc.
- Haushofer, Johannes & Niehaus, Paul & Paramo, Carlos & Miguel, Edward & Walker, Michael W, 2022. "Targeting Impact Versus Deprivation," Department of Economics, Working Paper Series qt07j8n9vz, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
- Jaime Ramirez-Cuellar, 2023. "Testing for idiosyncratic Treatment Effect Heterogeneity," Papers 2304.01141, arXiv.org.
- Liyang Sun, 2024.
"Empirical welfare maximization with constraints,"
CeMMAP working papers
19/24, Institute for Fiscal Studies.
- Liyang Sun, 2021. "Empirical Welfare Maximization with Constraints," Papers 2103.15298, arXiv.org, revised Sep 2024.
- Toru Kitagawa & Guanyi Wang, 2023. "Individualized Treatment Allocation in Sequential Network Games," Papers 2302.05747, arXiv.org, revised Jul 2024.
- Susan Athey & Undral Byambadalai & Vitor Hadad & Sanath Kumar Krishnamurthy & Weiwen Leung & Joseph Jay Williams, 2022. "Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning," Papers 2211.12004, arXiv.org.
- Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "A model of multiple hypothesis testing," Papers 2104.13367, arXiv.org, revised Jan 2025.
- Kai Feng & Han Hong & Ke Tang & Jingyuan Wang, 2023. "Statistical Tests for Replacing Human Decision Makers with Algorithms," Papers 2306.11689, arXiv.org, revised Dec 2024.
- Charles F. Manski & Aleksey Tetenov, 2014.
"The Quantile Performance Of Statistical Treatment Rules Using Hypothesis Tests To Allocate A Population To Two Treatments,"
Carlo Alberto Notebooks
361, Collegio Carlo Alberto.
- Charles F. Manski & Aleksey Tetenov, 2014. "The Quantile Performance of Statistical Treatment Rules Using Hypothesis Tests to Allocate a Population to Two Treatments," CeMMAP working papers CWP44/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Charles F. Manski & Aleksey Tetenov, 2014. "The Quantile Performance of Statistical Treatment Rules Using Hypothesis Tests to Allocate a Population to Two Treatments," CeMMAP working papers 44/14, Institute for Fiscal Studies.
Cited by:
- Charles F. Manski, 2019. "Statistical inference for statistical decisions," Papers 1909.06853, arXiv.org.
- Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Oct 2024.
- Charles F. Manski, 2019.
"Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald,"
Papers
1912.08726, arXiv.org, revised Feb 2021.
- Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," NBER Working Papers 26596, National Bureau of Economic Research, Inc.
- Charles F. Manski, 2021. "Econometrics for Decision Making: Building Foundations Sketched by Haavelmo and Wald," Econometrica, Econometric Society, vol. 89(6), pages 2827-2853, November.
- Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
- Charles F. Manski, 2019. "Remarks on statistical inference for statistical decisions," CeMMAP working papers CWP06/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Giovanni Mastrobuoni & Franco Peracchi & Aleksey Tetenov, 2012.
"Price as a signal of product quality: some experimental evidence,"
Carlo Alberto Notebooks
268, Collegio Carlo Alberto, revised 2013.
- Mastrobuoni, Giovanni & Peracchi, Franco & Tetenov, Aleksey, 2014. "Price as a Signal of Product Quality: Some Experimental Evidence," Journal of Wine Economics, Cambridge University Press, vol. 9(2), pages 135-152, August.
- Giovanni Mastrobuoni & Franco Peracchi & Aleksey Tetenov, 2012. "Price as a signal of product quality: Some experimental evidence," EIEF Working Papers Series 1214, Einaudi Institute for Economics and Finance (EIEF), revised Oct 2012.
Cited by:
- Villas-Boas, Sofia B, 2020. "Reduced Form Evidence on Belief Updating Under Asymmetric Information," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt08c456vk, Department of Agricultural & Resource Economics, UC Berkeley.
- Palma, Marco A. & Ness, Meghan L. & Anderson, David P., 2015. "Buying More than Taste? A Latent Class Analysis of Health and Prestige Determinants of Healthy Food," 2015 Conference (59th), February 10-13, 2015, Rotorua, New Zealand 202566, Australian Agricultural and Resource Economics Society.
- Clarissa Laura Maria Spiess Bru, 2023. "Does the Tasting Note Matter? Language Categories and Their Impact on Professional Ratings and Prices," Working Papers Dissertations 105, Paderborn University, Faculty of Business Administration and Economics.
- Jimenez Mori, Raul, 2021.
"It’s not price; It’s quality. Satisfaction and price fairness perception,"
World Development, Elsevier, vol. 139(C).
- Raul Jimenez Mori, 2020. "It’s Not Price; It’s Quality. Satisfaction and Price Fairness Perception," Documentos de Trabajo 17786, The Latin American and Caribbean Economic Association (LACEA).
- Bonnet, Céline & Hilger, James & Villas-Boas, Sofia B., 2017. "Reduced Form Evidence on Belief Updating under Asymmetric Information - The Case of Wine Expert Opinions," TSE Working Papers 17-834, Toulouse School of Economics (TSE), revised May 2019.
- Palma, Marco & Ness, Meghan & Anderson, David, 2015. "Prestige as a Determining Factor of Food Purchases," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196694, Southern Agricultural Economics Association.
- Gregory Colson & Jay R. Corrigan & Carola Grebitus & Maria L. Loureiro & Matthew C. Rousu, 2016. "Which Deceptive Practices, If Any, Should Be Allowed in Experimental Economics Research? Results from Surveys of Applied Experimental Economists and Students," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(2), pages 610-621.
- Sayag, Doron & Snir, Avichai & Levy, Daniel, 2024.
"Price Setting Rules, Rounding Tax, and Inattention Penalty,"
EconStor Preprints
306479, ZBW - Leibniz Information Centre for Economics.
- Doron Sayag & Avichai Snir & Daniel Levy, 2024. "Price Setting Rules, Rounding Tax, and Inattention Penalty," Working Paper series 24-17, Rimini Centre for Economic Analysis.
- Sayag, Doron & Snir, Avichai & Levy, Daniel, 2024. "Price Setting Rules, Rounding Tax, and Inattention Penalty," MPRA Paper 122733, University Library of Munich, Germany.
- Doron Sayag & Avichai Snir & Daniel Levy, 2024. "Price Setting Rules, Rounding Tax, and Inattention Penalty," Papers 2411.13427, arXiv.org.
- Palma, David & Ortúzar, Juan de Dios & Rizzi, Luis Ignacio & Guevara, Cristian Angelo & Casaubon, Gerard & Ma, Huiqin, 2016. "Modelling choice when price is a cue for quality: a case study with Chinese consumers," Journal of choice modelling, Elsevier, vol. 19(C), pages 24-39.
- Jonathan Willner, 2019. "Private Universities and NCAA D-III Athletics as a General Recruiting Tool," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 25(3), pages 293-307, August.
- Umbas Krisnanto, 2017. "Purchase Behavior of Rare Products: The Case of Vespa in Indonesia," International Review of Management and Marketing, Econjournals, vol. 7(4), pages 26-33.
- Qihua Liu & Shan Huang & Liyi Zhang, 2016. "The influence of information cascades on online purchase behaviors of search and experience products," Electronic Commerce Research, Springer, vol. 16(4), pages 553-580, December.
- Tian, Jing & Chen, Rong & Xu, Xiaobing, 2022. "A good way to boost sales? Effects of the proportion of sold-out options on purchase behavior," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 156-169.
- Kavita Sharma & Shivani Garg, 2016. "An Investigation into Consumer Search and Evaluation Behaviour: Effect of Brand Name and Price Perceptions," Vision, , vol. 20(1), pages 24-36, March.
- Marco A. Palma & Meghan L. Ness & David P. Anderson, 2017. "Fashionable food: a latent class analysis of social status in food purchases," Applied Economics, Taylor & Francis Journals, vol. 49(3), pages 238-250, January.
- Aleksey Tetenov, 2009.
"Statistical Treatment Choice Based on Asymmetric Minimax Regret Criteria,"
Carlo Alberto Notebooks
119, Collegio Carlo Alberto.
- Tetenov, Aleksey, 2012. "Statistical treatment choice based on asymmetric minimax regret criteria," Journal of Econometrics, Elsevier, vol. 166(1), pages 157-165.
Cited by:
- Toru Kitagawa & Aleksey Tetenov, 2018.
"Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice,"
Econometrica, Econometric Society, vol. 86(2), pages 591-616, March.
- Toru Kitagawa & Aleksey Tetenov, 2017. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP24/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be Treated? Empirical Welfare Maximization Methods for Treatment Choice," Carlo Alberto Notebooks 402, Collegio Carlo Alberto.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP10/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Manski, Charles F., 2023.
"Probabilistic prediction for binary treatment choice: With focus on personalized medicine,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.
- Charles F. Manski, 2021. "Probabilistic Prediction for Binary Treatment Choice: with focus on personalized medicine," Papers 2110.00864, arXiv.org.
- Charles F. Manski, 2021. "Probabilistic Prediction for Binary Treatment Choice: with Focus on Personalized Medicine," NBER Working Papers 29358, National Bureau of Economic Research, Inc.
- Toru Kitagawa & Aleksey Tetenov, 2018.
"Equality-minded treatment choice,"
CeMMAP working papers
CWP71/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2017. "Equality-minded treatment choice," CeMMAP working papers CWP10/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2021. "Equality-Minded Treatment Choice," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 561-574, March.
- Stoye, Jörg, 2012. "Minimax regret treatment choice with covariates or with limited validity of experiments," Journal of Econometrics, Elsevier, vol. 166(1), pages 138-156.
- Debopam Bhattacharya & Pascaline Dupas, 2008.
"Inferring Welfare Maximizing Treatment Assignment under Budget Constraints,"
NBER Working Papers
14447, National Bureau of Economic Research, Inc.
- Bhattacharya, Debopam & Dupas, Pascaline, 2012. "Inferring welfare maximizing treatment assignment under budget constraints," Journal of Econometrics, Elsevier, vol. 167(1), pages 168-196.
- Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
- Eduardo Zambrano, 2024. "Inequality Sensitive Optimal Treatment Assignment," Papers 2409.14776, arXiv.org, revised Feb 2025.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018.
"Inference on winners,"
CeMMAP working papers
CWP73/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2024. "Inference on Winners," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(1), pages 305-358.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2020. "Inference on winners," CeMMAP working papers CWP43/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2019. "Inference on Winners," NBER Working Papers 25456, National Bureau of Economic Research, Inc.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018. "Inference on winners," CeMMAP working papers CWP31/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susan Athey & Stefan Wager, 2017.
"Policy Learning with Observational Data,"
Papers
1702.02896, arXiv.org, revised Sep 2020.
- Susan Athey & Stefan Wager, 2021. "Policy Learning With Observational Data," Econometrica, Econometric Society, vol. 89(1), pages 133-161, January.
- Charles F. Manski & Aleksey Tetenov, 2014.
"The Quantile Performance of Statistical Treatment Rules Using Hypothesis Tests to Allocate a Population to Two Treatments,"
CeMMAP working papers
CWP44/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Charles F. Manski & Aleksey Tetenov, 2014. "The Quantile Performance of Statistical Treatment Rules Using Hypothesis Tests to Allocate a Population to Two Treatments," CeMMAP working papers 44/14, Institute for Fiscal Studies.
- Charles F. Manski & Aleksey Tetenov, 2014. "The Quantile Performance Of Statistical Treatment Rules Using Hypothesis Tests To Allocate A Population To Two Treatments," Carlo Alberto Notebooks 361, Collegio Carlo Alberto.
- Daido Kido, 2023. "Locally Asymptotically Minimax Statistical Treatment Rules Under Partial Identification," Papers 2311.08958, arXiv.org.
- Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2022.
"Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs,"
NBER Working Papers
30469, National Bureau of Economic Research, Inc.
- Takanori IDA & Takunori ISHIHARA & Koichiro ITO & Daido KIDO & Toru KITAGAWA & Shosei SAKAGUCHI & Shusaku SASAKI, 2023. "Choosing Who Chooses: Selection-driven targeting in energy rebate programs," Discussion papers 23011, Research Institute of Economy, Trade and Industry (RIETI).
- Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev, 2018.
"Functional Sequential Treatment Allocation,"
Papers
1812.09408, arXiv.org, revised Aug 2020.
- Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev, 2022. "Functional Sequential Treatment Allocation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(539), pages 1311-1323, September.
- Eric Mbakop & Max Tabord‐Meehan, 2021.
"Model Selection for Treatment Choice: Penalized Welfare Maximization,"
Econometrica, Econometric Society, vol. 89(2), pages 825-848, March.
- Eric Mbakop & Max Tabord-Meehan, 2016. "Model Selection for Treatment Choice: Penalized Welfare Maximization," Papers 1609.03167, arXiv.org, revised Dec 2020.
- Yuya Sasaki & Takuya Ura, 2020. "Welfare Analysis via Marginal Treatment Effects," Papers 2012.07624, arXiv.org.
- Takuya Ishihara & Toru Kitagawa, 2021. "Evidence Aggregation for Treatment Choice," Papers 2108.06473, arXiv.org, revised Jul 2024.
- Jos'e Luis Montiel Olea & Chen Qiu & Jorg Stoye, 2023. "Decision Theory for Treatment Choice Problems with Partial Identification," Papers 2312.17623, arXiv.org, revised Aug 2024.
- Keisuke Hirano, 2023. "A Comment on: “Invidious Comparisons: Ranking and Selection as Compound Decisions” by Jiaying Gu and Roger Koenker," Econometrica, Econometric Society, vol. 91(1), pages 43-46, January.
- Shosei Sakaguchi, 2021. "Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints," Papers 2106.05031, arXiv.org, revised Aug 2024.
- Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2013.
"Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets,"
Economics Series Working Papers
646, University of Oxford, Department of Economics.
- Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2013. "Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets," NBER Working Papers 18833, National Bureau of Economic Research, Inc.
- Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2013. "Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets," CREATES Research Papers 2013-06, Department of Economics and Business Economics, Aarhus University.
- Toru Kitagawa & Shosei Sakaguchi & Aleksey Tetenov, 2021. "Constrained Classification and Policy Learning," Papers 2106.12886, arXiv.org, revised Jul 2023.
- Anders Bredahl Kock & Martin Thyrsgaard, 2017. "Optimal sequential treatment allocation," Papers 1705.09952, arXiv.org, revised Aug 2018.
- Garbero, Alessandra & Sakos, Grayson & Cerulli, Giovanni, 2023.
"Towards data-driven project design: Providing optimal treatment rules for development projects,"
Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
- Garbero, Alessandra & Sakos, Grayson & Cerulli, Giovanni, 2021. "Towards Data-driven Project design: Providing Optimal Treatment Rules for Development Projects," 2021 Annual Meeting, August 1-3, Austin, Texas 314016, Agricultural and Applied Economics Association.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers 10/15, Institute for Fiscal Studies.
- Chunrong Ai & Yue Fang & Haitian Xie, 2024. "Data-driven Policy Learning for Continuous Treatments," Papers 2402.02535, arXiv.org, revised Nov 2024.
- Timothy B. Armstrong & Shu Shen, 2013.
"Inference on Optimal Treatment Assignments,"
Cowles Foundation Discussion Papers
1927, Cowles Foundation for Research in Economics, Yale University.
- Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2014.
- Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927RR, Cowles Foundation for Research in Economics, Yale University, revised Apr 2015.
- Iverson, Terrence, 2012. "Communicating Trade-offs amid Controversial Science: Decision Support for Climate Policy," Ecological Economics, Elsevier, vol. 77(C), pages 74-90.
- Toru Kitagawa & Aleksey Tetenov, 2017. "Equality-minded treatment choice," CeMMAP working papers 10/17, Institute for Fiscal Studies.
- Sergio Firpo & Antonio F. Galvao & Martyna Kobus & Thomas Parker & Pedro Rosa-Dias, 2020.
"Loss aversion and the welfare ranking of policy interventions,"
Papers
2004.08468, arXiv.org, revised Sep 2023.
- Firpo, Sergio & Galvao, Antonio F. & Kobus, Martyna & Parker, Thomas & Rosa-Dias, Pedro, 2020. "Loss Aversion and the Welfare Ranking of Policy Interventions," IZA Discussion Papers 13176, Institute of Labor Economics (IZA).
- Kohei Yata, 2021. "Optimal Decision Rules Under Partial Identification," Papers 2111.04926, arXiv.org, revised Mar 2025.
- Abhijit V. Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2020. "A Theory of Experimenters: Robustness, Randomization, and Balance," American Economic Review, American Economic Association, vol. 110(4), pages 1206-1230, April.
- Karun Adusumilli & Friedrich Geiecke & Claudio Schilter, 2019. "Dynamically Optimal Treatment Allocation," Papers 1904.01047, arXiv.org, revised Nov 2024.
- Abhijit Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2017.
"A Theory of Experimenters,"
NBER Working Papers
23867, National Bureau of Economic Research, Inc.
- Abhijit Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2017. "A Theory of Experimenters," CESifo Working Paper Series 6678, CESifo.
- Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
- Keisuke Hirano & Jack R. Porter, 2012.
"Impossibility Results for Nondifferentiable Functionals,"
Econometrica, Econometric Society, vol. 80(4), pages 1769-1790, July.
- Hirano, Keisuke & Porter, Jack, 2009. "Impossibility Results for Nondifferentiable Functionals," MPRA Paper 15990, University Library of Munich, Germany.
- Stoye, Jörg, 2009. "Minimax regret treatment choice with finite samples," Journal of Econometrics, Elsevier, vol. 151(1), pages 70-81, July.
- Toru Kitagawa & Guanyi Wang, 2020. "Who Should Get Vaccinated? Individualized Allocation of Vaccines Over SIR Network," Papers 2012.04055, arXiv.org, revised Jul 2021.
- Charles F. Manski & Aleksey Tetenov, 2023.
"Statistical Decision Theory Respecting Stochastic Dominance,"
Papers
2308.05171, arXiv.org.
- Charles F. Manski & Aleksey Tetenov, 2023. "Statistical decision theory respecting stochastic dominance," The Japanese Economic Review, Springer, vol. 74(4), pages 447-469, October.
- Keisuke Hirano & Jack R. Porter, 2016.
"Panel Asymptotics and Statistical Decision Theory,"
The Japanese Economic Review, Springer, vol. 67(1), pages 33-49, March.
- Keisuke Hirano & Jack R. Porter, 2016. "Panel Asymptotics and Statistical Decision Theory," The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 33-49, March.
- Lei Liu & Marcello Urgo, 2024. "Robust scheduling in a two-machine re-entrant flow shop to minimise the value-at-risk of the makespan: branch-and-bound and heuristic algorithms based on Markovian activity networks and phase-type dis," Annals of Operations Research, Springer, vol. 338(1), pages 741-764, July.
- Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.
- Neil Christy & Amanda Ellen Kowalski, 2024. "Counting Defiers in Health Care: A Design-Based Model of an Experiment Can Reveal Evidence Against Monotonicity," Papers 2412.16352, arXiv.org, revised Mar 2025.
- Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Oct 2024.
- Toru Kitagawa & Guanyi Wang, 2020. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP59/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Davide Viviano & Jelena Bradic, 2020. "Fair Policy Targeting," Papers 2005.12395, arXiv.org, revised Jun 2022.
- Takuya Ishihara & Daisuke Kurisu, 2022. "Shrinkage Methods for Treatment Choice," Papers 2210.17063, arXiv.org, revised Jun 2024.
- Charles F. Manski & Aleksey Tetenov, 2015. "Clinical trial design enabling epsilon-optimal treatment rules," Carlo Alberto Notebooks 430, Collegio Carlo Alberto.
- Jos'e Luis Montiel Olea & Brenda Prallon & Chen Qiu & Jorg Stoye & Yiwei Sun, 2024. "Externally Valid Selection of Experimental Sites via the k-Median Problem," Papers 2408.09187, arXiv.org.
- Takuya Ishihara, 2023. "Bandwidth Selection for Treatment Choice with Binary Outcomes," Papers 2308.14375, arXiv.org, revised Sep 2023.
- Kirill Ponomarev & Vira Semenova, 2024. "On the Lower Confidence Band for the Optimal Welfare," Papers 2410.07443, arXiv.org, revised Oct 2024.
- Aleksey Tetenov, 2016. "An economic theory of statistical testing," CeMMAP working papers CWP50/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
- Chiu, Ching-Wai (Jeremy) & Hayes, Simon & Kapetanios, George & Theodoridis, Konstantinos, 2019.
"A new approach for detecting shifts in forecast accuracy,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1596-1612.
- Chiu, Ching-Wai (Jeremy) & hayes, simon & kapetanios, george & Theodoridis, Konstantinos, 2018. "A new approach for detecting shifts in forecast accuracy," Bank of England working papers 721, Bank of England.
- Chiu,Ching-Wai & Hayes, Simon & Kapetanios, George & Theodoridis, Konstantinos, 2018. "A New Approach for Detecting Shifts in Forecast Accuracy," Cardiff Economics Working Papers E2018/24, Cardiff University, Cardiff Business School, Economics Section.
- Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
- Toru Kitagawa & Weining Wang & Mengshan Xu, 2022. "Policy Choice in Time Series by Empirical Welfare Maximization," Papers 2205.03970, arXiv.org, revised Dec 2024.
- Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020.
"Robust Forecasting,"
PIER Working Paper Archive
20-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
- Aleksey Tetenov, 2016. "An economic theory of statistical testing," CeMMAP working papers 50/16, Institute for Fiscal Studies.
- Toru Kitagawa & Hugo Lopez & Jeff Rowley, 2022. "Stochastic Treatment Choice with Empirical Welfare Updating," Papers 2211.01537, arXiv.org, revised Feb 2023.
- Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Timothy Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," IFS Working Papers WCWP28/24, Institute for Fiscal Studies.
- Charles F. Manski & Aleksey Tetenov, 2015.
"Clinical trial design enabling e-optimal treatment rules,"
CeMMAP working papers
CWP60/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Charles F. Manski & Aleksey Tetenov, 2015. "Clinical trial design enabling ε-optimal treatment rules," CeMMAP working papers 60/15, Institute for Fiscal Studies.
- Haitian Xie, 2020. "Finite-Sample Average Bid Auction," Papers 2008.10217, arXiv.org, revised Feb 2022.
- Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
- Toru Kitagawa & Guanyi Wang, 2023. "Individualized Treatment Allocation in Sequential Network Games," Papers 2302.05747, arXiv.org, revised Jul 2024.
- Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "A model of multiple hypothesis testing," Papers 2104.13367, arXiv.org, revised Jan 2025.
- Neil Christy & A. E. Kowalski, 2024. "Starting Small: Prioritizing Safety over Efficacy in Randomized Experiments Using the Exact Finite Sample Likelihood," Papers 2407.18206, arXiv.org.
- Aleksey Tetenov, 2008.
"Measuring Precision of Statistical Inference on Partially Identified Parameters,"
Carlo Alberto Notebooks
98, Collegio Carlo Alberto, revised 2012.
Cited by:
- Stoye, Jörg, 2012. "Minimax regret treatment choice with covariates or with limited validity of experiments," Journal of Econometrics, Elsevier, vol. 166(1), pages 138-156.
- McFadden, Daniel, 2012. "Economic juries and public project provision," Journal of Econometrics, Elsevier, vol. 166(1), pages 116-126.
Articles
- Toru Kitagawa & Aleksey Tetenov, 2021.
"Equality-Minded Treatment Choice,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 561-574, March.
See citations under working paper version above.
- Toru Kitagawa & Aleksey Tetenov, 2017. "Equality-minded treatment choice," CeMMAP working papers CWP10/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2018. "Equality-minded treatment choice," CeMMAP working papers CWP71/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Charles F. Manski & Aleksey Tetenov, 2019.
"Trial Size for Near-Optimal Choice Between Surveillance and Aggressive Treatment: Reconsidering MSLT-II,"
The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 305-311, March.
Cited by:
- Manski, Charles F., 2023.
"Probabilistic prediction for binary treatment choice: With focus on personalized medicine,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.
- Charles F. Manski, 2021. "Probabilistic Prediction for Binary Treatment Choice: with focus on personalized medicine," Papers 2110.00864, arXiv.org.
- Charles F. Manski, 2021. "Probabilistic Prediction for Binary Treatment Choice: with Focus on Personalized Medicine," NBER Working Papers 29358, National Bureau of Economic Research, Inc.
- Charles F. Manski, 2019. "Statistical inference for statistical decisions," Papers 1909.06853, arXiv.org.
- Azevedo, Eduardo M. & Mao, David & Montiel Olea, José Luis & Velez, Amilcar, 2023. "The A/B testing problem with Gaussian priors," Journal of Economic Theory, Elsevier, vol. 210(C).
- John Mullahy, 2018. "Treatment Effects with Multiple Outcomes," NBER Working Papers 25307, National Bureau of Economic Research, Inc.
- Yuchen Hu & Henry Zhu & Emma Brunskill & Stefan Wager, 2024. "Minimax-Regret Sample Selection in Randomized Experiments," Papers 2403.01386, arXiv.org, revised Jun 2024.
- Charles F. Manski, 2019.
"Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald,"
Papers
1912.08726, arXiv.org, revised Feb 2021.
- Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," NBER Working Papers 26596, National Bureau of Economic Research, Inc.
- Charles F. Manski, 2021. "Econometrics for Decision Making: Building Foundations Sketched by Haavelmo and Wald," Econometrica, Econometric Society, vol. 89(6), pages 2827-2853, November.
- Seungjin Han & Julius Owusu & Youngki Shin, 2022. "Statistical Treatment Rules under Social Interaction," Papers 2209.09077, arXiv.org, revised Nov 2022.
- Manski, Charles F., 2023.
"Probabilistic prediction for binary treatment choice: With focus on personalized medicine,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.
- Toru Kitagawa & Aleksey Tetenov, 2018.
"Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice,"
Econometrica, Econometric Society, vol. 86(2), pages 591-616, March.
See citations under working paper version above.
- Toru Kitagawa & Aleksey Tetenov, 2017. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP24/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be Treated? Empirical Welfare Maximization Methods for Treatment Choice," Carlo Alberto Notebooks 402, Collegio Carlo Alberto.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP10/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Mastrobuoni, Giovanni & Peracchi, Franco & Tetenov, Aleksey, 2014.
"Price as a Signal of Product Quality: Some Experimental Evidence,"
Journal of Wine Economics, Cambridge University Press, vol. 9(2), pages 135-152, August.
See citations under working paper version above.
- Giovanni Mastrobuoni & Franco Peracchi & Aleksey Tetenov, 2012. "Price as a signal of product quality: Some experimental evidence," EIEF Working Papers Series 1214, Einaudi Institute for Economics and Finance (EIEF), revised Oct 2012.
- Giovanni Mastrobuoni & Franco Peracchi & Aleksey Tetenov, 2012. "Price as a signal of product quality: some experimental evidence," Carlo Alberto Notebooks 268, Collegio Carlo Alberto, revised 2013.
- Tetenov, Aleksey, 2012.
"Statistical treatment choice based on asymmetric minimax regret criteria,"
Journal of Econometrics, Elsevier, vol. 166(1), pages 157-165.
See citations under working paper version above.
- Aleksey Tetenov, 2009. "Statistical Treatment Choice Based on Asymmetric Minimax Regret Criteria," Carlo Alberto Notebooks 119, Collegio Carlo Alberto.