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Narita Yusuke
Narita Yusuke
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Title
Cited by
Cited by
Year
Research design meets market design: Using centralized assignment for impact evaluation
A Abdulkadiroğlu, JD Angrist, Y Narita, PA Pathak
Econometrica 85 (5), 1373-1432, 2017
2472017
Research design meets market design: Using centralized assignment for impact evaluation
A Abdulkadiroğlu, JD Angrist, Y Narita, PA Pathak
Econometrica 85 (5), 1373-1432, 2017
2472017
Research design meets market design: Using centralized assignment for impact evaluation
A Abdulkadiroğlu, JD Angrist, Y Narita, PA Pathak
Econometrica 85 (5), 1373-1432, 2017
2472017
Breaking ties: Regression discontinuity design meets market design
A Abdulkadı̇roğlu, JD Angrist, Y Narita, P Pathak
Econometrica 90 (1), 117-151, 2022
752022
Open bandit dataset and pipeline: Towards realistic and reproducible off-policy evaluation
Y Saito, S Aihara, M Matsutani, Y Narita
arXiv preprint arXiv:2008.07146, 2020
692020
Match or mismatch? Learning and inertia in school choice
Y Narita
Learning and Inertia in School Choice (June 18, 2018), 2018
612018
Improving schools through school choice: A market design approach
JW Hatfield, F Kojima, Y Narita
Journal of Economic Theory 166, 186-211, 2016
572016
Guilt aversion revisited: An experimental test of a new model
T Kawagoe, Y Narita
Journal of Economic Behavior & Organization 102, 1-9, 2014
542014
Efficient Counterfactual Learning from Bandit Feedback
Y Narita, S Yasui, K Yata
arXiv preprint arXiv:1809.03084, 2018
452018
Doubly robust off-policy evaluation for ranking policies under the cascade behavior model
H Kiyohara, Y Saito, T Matsuhiro, Y Narita, N Shimizu, Y Yamamoto
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
412022
Regression discontinuity in serial dictatorship: Achievement effects at Chicago's exam schools
A AbdulkadIroğlu, JD Angrist, Y Narita, PA Pathak, RA Zarate
American Economic Review 107 (5), 240-245, 2017
402017
Promoting school competition through school choice: A market design approach
JW Hatfield, F Kojima, Y Narita
Stanford: Stanford University Capital and Economic Opportunity Working Group …, 2011
382011
Evaluating the robustness of off-policy evaluation
Y Saito, T Udagawa, H Kiyohara, K Mogi, Y Narita, K Tateno
Proceedings of the 15th ACM Conference on Recommender Systems, 114-123, 2021
302021
Many-to-many matching with max–min preferences
JW Hatfield, F Kojima, Y Narita
Discrete Applied Mathematics 179, 235-240, 2014
232014
Curse of Democracy: Evidence from 2020
Y Narita, A Sudo
Available at SSRN 3827327, 2021
182021
Efficient adaptive experimental design for average treatment effect estimation
M Kato, T Ishihara, J Honda, Y Narita
arXiv preprint arXiv:2002.05308, 2020
142020
Incorporating ethics and welfare into randomized experiments
Y Narita
Proceedings of the National Academy of Sciences 118 (1), e2008740118, 2021
132021
Toward an ethical experiment
Y Narita
Available at SSRN 3094905, 2019
132019
Policy-adaptive estimator selection for off-policy evaluation
T Udagawa, H Kiyohara, Y Narita, Y Saito, K Tateno
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10025 …, 2023
122023
Debiased off-policy evaluation for recommendation systems
Y Narita, S Yasui, K Yata
Proceedings of the 15th ACM Conference on Recommender Systems, 372-379, 2021
122021
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