Toru Kitagawa

Discipline

Economies et finances (22) Méthodes et statistiques (1)

Type de document

Textes imprimés (20) Articles (2) Prépublication (1)

Co-auteur

Date

Source

Mot-clé

science économique (21) Economics (21) Econometrics (19) Treatment (15) spectacle (10) papier (10) Paper (10) Regret (9) statistiques (8) politique (8) information (8) Identification (8) Statistics (8) Statistics (8) Identification (8) Statistics (8) Identification (8) abords (agglomération) (7) Rules (7) Rules (7) Performance (7) Models (7) Performance (7) méthodologie (6) expérience scientifique (6) méthode (6) Methodology (6) Methodology (6) Example (6) modèle (5)

Documents écrit par Toru Kitagawa (23) | parle de Toru Kitagawa (0)

Bandit Algorithms for Policy Learning: Methods, Implementation, and Welfare-performance
Toru Kitagawa et al. (31 août 2024)
SVARs with breaks: Identification and inference
Emanuele Bacchiocchi et al. (8 mai 2024)
Partially identified heteroskedastic SVARs
Emanuele Bacchiocchi et al. (11 mars 2024)
Adaptive Experimental Design for Policy Learning
Masahiro Kato et al. (8 janv. 2024)
Treatment Choice, Mean Square Regret and Partial Identification
Toru Kitagawa et al. (9 oct. 2023)
Individualized Treatment Allocation in Sequential Network Games
Toru Kitagawa et al. (11 févr. 2023)
Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds
Masahiro Kato et al. (6 févr. 2023)
Stochastic Treatment Choice with Empirical Welfare Updating
Toru Kitagawa et al. (2 nov. 2022)
Best Arm Identification with Contextual Information under a Small Gap
Masahiro Kato et al. (15 sept. 2022)
Treatment Choice with Nonlinear Regret
Toru Kitagawa et al. (17 mai 2022)
Policy Choice in Time Series by Empirical Welfare Maximization
Toru Kitagawa et al. (8 mai 2022)
von Mises-Fisher distributions and their statistical divergence
Toru Kitagawa et al. (10 févr. 2022)
Non-Bayesian updating in a social learning experiment
Roberta de Filippis et al. (janv. 2022)
Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs
Takanori Ida et al. (18 déc. 2021)
Testing Instrument Validity with Covariates
Thomas Carr et al. (15 déc. 2021)
Evidence Aggregation for Treatment Choice
Takuya Ishihara et al. (14 août 2021)
Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment
Marco Angrisani et al. (août 2021)
Constrained Classification and Policy Learning
Toru Kitagawa et al. (24 juin 2021)
Identification and Inference Under Narrative Restrictions
Raffaella Giacomini et al. (12 févr. 2021)
A note on global identification in structural vector autoregressions
Emanuele Bacchiocchi et al. (8 févr. 2021)
Who Should Get Vaccinated? Individualized Allocation of Vaccines Over SIR Network
Toru Kitagawa et al. (7 déc. 2020)
Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment
Marco Angrisani et al. (juil. 2019)
Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection
Arun Advani et al. (25 sept. 2018)