Cover Image

Educational Effects in Mathematics: Conditional Average Treatment Effect depending on the Number of Treatments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nagai, Tomoko, Okuda, Takayuki, Nakamura, Tomoya, Sato, Yuichiro, Sato, Yusuke, Kinjo, Kensaku, Kawamura, Kengo, Kikuta, Shin, Kumano-go, Naoto
Format:	Preprint
Published:	2024
Subjects:	Methodology Machine Learning Econometrics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Local Average and Marginal Treatment Effects with a Misclassified Treatment
by: Acerenza, Santiago, et al.
Published: (2021)

Efficient Adaptive Experimental Design for Average Treatment Effect Estimation
by: Kato, Masahiro, et al.
Published: (2020)

Semiparametric Single-Index Estimation for Average Treatment Effects
by: Huang, Difang, et al.
Published: (2022)

Dynamic Local Average Treatment Effects in Time Series
by: Casini, Alessandro, et al.
Published: (2025)

rdhte: Conditional Average Treatment Effects in RD Designs
by: Calonico, Sebastian, et al.
Published: (2025)

Residualised Treatment Intensity and the Estimation of Average Partial Effects
by: Schäper, Julius
Published: (2025)

Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference
by: Cattaneo, Matias D., et al.
Published: (2025)

Distributional Treatment Effect with Latent Rank Invariance
by: Shin, Myungkou
Published: (2024)

Finitely Heterogeneous Treatment Effect in Event-study
by: Shin, Myungkou
Published: (2022)

Estimations of the Local Conditional Tail Average Treatment Effect
by: Chen, Le-Yu, et al.
Published: (2021)

Randomization Inference For the Always-Reporter Average Treatment Effect
by: Chang, Haoge, et al.
Published: (2026)

On the Identifying Power of Generalized Monotonicity for Average Treatment Effects
by: Bai, Yuehao, et al.
Published: (2024)

Dynamic Local Average Treatment Effects
by: Sojitra, Ravi B., et al.
Published: (2024)

Estimation and Inference on Average Treatment Effect in Percentage Points under Heterogeneity
by: Zeng, Ying
Published: (2024)

Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect
by: Słoczyński, Tymon, et al.
Published: (2022)

The Exact Variance of the Average Treatment Effect Estimator in Cluster Randomized Controlled Trials
by: Fang, Yue, et al.
Published: (2025)

Identification of Average Treatment Effects in Nonparametric Panel Models
by: Athey, Susan, et al.
Published: (2025)

Double Robust Bayesian Inference on Average Treatment Effects
by: Breunig, Christoph, et al.
Published: (2022)

Treatment Effects with Multidimensional Unobserved Heterogeneity: Identification of the Marginal Treatment Effect
by: Tsuda, Toshiki
Published: (2022)

Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects
by: Słoczyński, Tymon, et al.
Published: (2023)

Forecasted Treatment Effects
by: Botosaru, Irene, et al.
Published: (2023)

Distributionally Robust Treatment Effect
by: Xu, Ruonan, et al.
Published: (2025)

Marginal Treatment Effects and Monotonicity
by: Sigstad, Henrik
Published: (2024)

Treatment Effects of Multi-Valued Treatments in Hyper-Rectangle Model
by: Tian, Xunkang
Published: (2025)

Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
by: Kato, Masahiro
Published: (2024)

Doubly Robust Uniform Confidence Bands for Group-Time Conditional Average Treatment Effects in Difference-in-Differences
by: Imai, Shunsuke, et al.
Published: (2023)

Treatment Effect Estimators as Weighted Outcomes
by: Knaus, Michael C.
Published: (2024)

Identification of a Rank-dependent Peer Effect Model
by: Herstad, Eyo I., et al.
Published: (2024)

Treatment Effects in Market Equilibrium
by: Munro, Evan, et al.
Published: (2021)

Treatment Effects with Targeting Instruments
by: Lee, Sokbae, et al.
Published: (2020)

Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators
by: Huang, Yiyan, et al.
Published: (2024)

Triple Difference Designs with Heterogeneous Treatment Effects
by: Caron, Laura
Published: (2025)

Difference-in-Differences Estimators of Intertemporal Treatment Effects
by: de Chaisemartin, Clément, et al.
Published: (2020)

Instrumented Difference-in-Differences with Heterogeneous Treatment Effects
by: Miyaji, Sho
Published: (2024)

Estimating Effects of Long-Term Treatments
by: Huang, Shan, et al.
Published: (2023)

(Visualizing) Plausible Treatment Effect Paths
by: Freyaldenhoven, Simon, et al.
Published: (2025)

Heterogeneous Treatment Effects and Causal Mechanisms
by: Fu, Jiawei, et al.
Published: (2024)

Decomposition and Interpretation of Treatment Effects in Settings with Delayed Outcomes
by: Bugni, Federico A., et al.
Published: (2023)

Uniform Confidence Band for Marginal Treatment Effect Function
by: Tsuda, Toshiki, et al.
Published: (2025)

Policy Relevant Treatment Effects with Multidimensional Unobserved Heterogeneity
by: Ura, Takuya, et al.
Published: (2024)