:: Library Catalog

Íomhá chlúdaigh

Sábháilte in:

Sonraí bibleagrafaíochta
Príomhchruthaitheoir:	Viviano, Davide
Formáid:	Preprint
Foilsithe / Cruthaithe:	2020
Ábhair:	Econometrics Methodology
Rochtain ar líne:	https://arxiv.org/abs/2003.08421
Clibeanna:	Cuir clib leis Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!

Míreanna comhchosúla

Policy Targeting under Network Interference
de réir: Viviano, Davide
Foilsithe / Cruthaithe: (2019)

Learning What to Learn: Experimental Design when Combining Experimental with Observational Evidence
de réir: Epanomeritakis, Aristotelis, et al.
Foilsithe / Cruthaithe: (2025)

Policy design in experiments with unknown interference
de réir: Viviano, Davide, et al.
Foilsithe / Cruthaithe: (2020)

Triply Robust Panel Estimators
de réir: Athey, Susan, et al.
Foilsithe / Cruthaithe: (2025)

Generalizability with ignorance in mind: learning what we do (not) know for archetypes discovery
de réir: Breza, Emily, et al.
Foilsithe / Cruthaithe: (2025)

Dynamic covariate balancing: estimating treatment effects over time with potential local projections
de réir: Viviano, Davide, et al.
Foilsithe / Cruthaithe: (2021)

Causal clustering: design of cluster experiments under network interference
de réir: Viviano, Davide, et al.
Foilsithe / Cruthaithe: (2023)

Program Evaluation with Remotely Sensed Outcomes
de réir: Rambachan, Ashesh, et al.
Foilsithe / Cruthaithe: (2024)

Design-Based and Network Sampling-Based Uncertainties in Network Experiments
de réir: Sakamoto, Kensuke, et al.
Foilsithe / Cruthaithe: (2025)

Individualized Policy Evaluation and Learning under Clustered Network Interference
de réir: Zhang, Yi, et al.
Foilsithe / Cruthaithe: (2023)

Synthetic Controls for Experimental Design
de réir: Abadie, Alberto, et al.
Foilsithe / Cruthaithe: (2021)

Switchback Experiments under Geometric Mixing
de réir: Hu, Yuchen, et al.
Foilsithe / Cruthaithe: (2022)

Evaluating Policy Effects under Network Interference without Network Information: A Transfer Learning Approach
de réir: Hoshino, Tadao
Foilsithe / Cruthaithe: (2025)

Estimating Treatment Effects under Algorithmic Interference: A Structured Neural Networks Approach
de réir: Zhan, Ruohan, et al.
Foilsithe / Cruthaithe: (2024)

Design-Based Uncertainty for Quasi-Experiments
de réir: Rambachan, Ashesh, et al.
Foilsithe / Cruthaithe: (2020)

Unconditional Randomization Tests for Interference
de réir: Zhong, Liang
Foilsithe / Cruthaithe: (2024)

Coupling Designs for Randomized Experiments with Complex Treatments
de réir: Cytrynbaum, Max, et al.
Foilsithe / Cruthaithe: (2026)

The Local Approach to Causal Inference under Network Interference
de réir: Auerbach, Eric, et al.
Foilsithe / Cruthaithe: (2021)

Exact P-values for Network Interference
de réir: Athey, Susan, et al.
Foilsithe / Cruthaithe: (2015)

Difference-in-Differences in the Presence of Unknown Interference
de réir: Mealli, Fabrizia, et al.
Foilsithe / Cruthaithe: (2025)

Experimental Design For Causal Inference Through An Optimization Lens
de réir: Zhao, Jinglong
Foilsithe / Cruthaithe: (2024)

Inference for Two-stage Experiments under Covariate-Adaptive Randomization
de réir: Liu, Jizhou
Foilsithe / Cruthaithe: (2023)

Cluster-Randomized Trials with Cross-Cluster Interference
de réir: Leung, Michael P.
Foilsithe / Cruthaithe: (2023)

Prior-Free Sample Size Design for Test-and-Roll Experiments
de réir: Kawato, Kentaro, et al.
Foilsithe / Cruthaithe: (2026)

Experimental Designs for Multi-Item Multi-Period Inventory Control
de réir: Chen, Xinqi, et al.
Foilsithe / Cruthaithe: (2025)

Pigeonhole Design: Balancing Sequential Experiments from an Online Matching Perspective
de réir: Zhao, Jinglong, et al.
Foilsithe / Cruthaithe: (2022)

Finite Population Inference for Factorial Designs and Panel Experiments with Imperfect Compliance
de réir: Picchetti, Pedro
Foilsithe / Cruthaithe: (2026)

Model-Based Inference and Experimental Design for Interference Using Partial Network Data
de réir: Reeves, Steven Wilkins, et al.
Foilsithe / Cruthaithe: (2024)

Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference
de réir: Cattaneo, Matias D., et al.
Foilsithe / Cruthaithe: (2025)

Experimental Design for Matching
de réir: Wang, Chonghuan
Foilsithe / Cruthaithe: (2026)

Safe Policy Learning under Regression Discontinuity Designs with Multiple Cutoffs
de réir: Zhang, Yi, et al.
Foilsithe / Cruthaithe: (2022)

Bridging Stratification and Regression Adjustment: Batch-Adaptive Stratification with Post-Design Adjustment in Randomized Experiments
de réir: Li, Zikai
Foilsithe / Cruthaithe: (2025)

Validating Causal Message Passing Against Network-Aware Methods on Real Experiments
de réir: Tan, Albert, et al.
Foilsithe / Cruthaithe: (2026)

Can We Validate Counterfactual Estimations in the Presence of General Network Interference?
de réir: Shirani, Sadegh, et al.
Foilsithe / Cruthaithe: (2025)

Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
de réir: Fu, Jiawei, et al.
Foilsithe / Cruthaithe: (2025)

Covariate Adjustment in Stratified Experiments
de réir: Cytrynbaum, Max
Foilsithe / Cruthaithe: (2023)

Randomization Tests in Switchback Experiments
de réir: Liu, Jizhou, et al.
Foilsithe / Cruthaithe: (2026)

Publication Design with Incentives in Mind
de réir: Jagadeesan, Ravi, et al.
Foilsithe / Cruthaithe: (2025)

Using Experiments to Correct for Selection in Observational Studies
de réir: Athey, Susan, et al.
Foilsithe / Cruthaithe: (2020)

Minimax-Regret Sample Selection in Randomized Experiments
de réir: Hu, Yuchen, et al.
Foilsithe / Cruthaithe: (2024)