Is Inference Conditional on Not Rejecting a Pre-test Less Reliable than Unconditional Inference?
Fuente:
arXiv
Guardado en:
| Autores principales: | de Chaisemartin, Clément, D'Haultfœuille, Xavier |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Treatment-Effect Estimation in Complex Designs under a Parallel-trends Assumption
por: de Chaisemartin, Clément, et al.
Publicado: (2025)
por: de Chaisemartin, Clément, et al.
Publicado: (2025)
Difference-in-Differences Estimators of Intertemporal Treatment Effects
por: de Chaisemartin, Clément, et al.
Publicado: (2020)
por: de Chaisemartin, Clément, et al.
Publicado: (2020)
Linear Regressions with Combined Data
por: D'Haultfoeuille, Xavier, et al.
Publicado: (2024)
por: D'Haultfoeuille, Xavier, et al.
Publicado: (2024)
Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models
por: Davezies, Laurent, et al.
Publicado: (2021)
por: Davezies, Laurent, et al.
Publicado: (2021)
Analytic inference with two-way clustering
por: Davezies, Laurent, et al.
Publicado: (2025)
por: Davezies, Laurent, et al.
Publicado: (2025)
Difference-in-Differences Estimators with Continuous Treatments and no Stayers
por: de Chaisemartin, Clément, et al.
Publicado: (2024)
por: de Chaisemartin, Clément, et al.
Publicado: (2024)
Difference-in-Differences Estimators When No Unit Remains Untreated
por: de Chaisemartin, Clément, et al.
Publicado: (2024)
por: de Chaisemartin, Clément, et al.
Publicado: (2024)
Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period
por: de Chaisemartin, Clément, et al.
Publicado: (2022)
por: de Chaisemartin, Clément, et al.
Publicado: (2022)
Unconditional Randomization Tests for Interference
por: Zhong, Liang
Publicado: (2024)
por: Zhong, Liang
Publicado: (2024)
Using did_multiplegt_dyn to Estimate Event-Study Effects in Complex Designs: Overview, and Four Examples Based on Real Datasets
por: de Chaisemartin, Clément, et al.
Publicado: (2025)
por: de Chaisemartin, Clément, et al.
Publicado: (2025)
Prediction Sets and Conformal Inference with Interval Outcomes
por: Liu, Weiguang, et al.
Publicado: (2025)
por: Liu, Weiguang, et al.
Publicado: (2025)
Randomization Inference: Theory and Applications
por: Ritzwoller, David M., et al.
Publicado: (2024)
por: Ritzwoller, David M., et al.
Publicado: (2024)
Randomization Inference with Sample Attrition
por: Li, Xinran, et al.
Publicado: (2025)
por: Li, Xinran, et al.
Publicado: (2025)
Asymptotic Inference for Rank Correlations
por: Pohle, Marc-Oliver, et al.
Publicado: (2025)
por: Pohle, Marc-Oliver, et al.
Publicado: (2025)
Causal Inference for Spatial Treatments
por: Pollmann, Michael
Publicado: (2020)
por: Pollmann, Michael
Publicado: (2020)
Resistant Inference in Instrumental Variable Models
por: Klooster, Jens, et al.
Publicado: (2024)
por: Klooster, Jens, et al.
Publicado: (2024)
Semiparametric Inference for Regression-Discontinuity Designs
por: Jiang, Weiwei, et al.
Publicado: (2024)
por: Jiang, Weiwei, et al.
Publicado: (2024)
Automatic Inference for Value-Added Regressions
por: Xie, Tian
Publicado: (2025)
por: Xie, Tian
Publicado: (2025)
Bayesian and Frequentist Inference for Synthetic Controls
por: Martinez, Ignacio, et al.
Publicado: (2022)
por: Martinez, Ignacio, et al.
Publicado: (2022)
Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference
por: Cattaneo, Matias D., et al.
Publicado: (2025)
por: Cattaneo, Matias D., et al.
Publicado: (2025)
Quasi-Bayesian Estimation and Inference with Control Functions
por: Liu, Ruixuan, et al.
Publicado: (2024)
por: Liu, Ruixuan, et al.
Publicado: (2024)
Inference in Regression Discontinuity Designs with Clustered Data
por: Noack, Claudia, et al.
Publicado: (2026)
por: Noack, Claudia, et al.
Publicado: (2026)
Inference in Cluster Randomized Trials with Matched Pairs
por: Bai, Yuehao, et al.
Publicado: (2022)
por: Bai, Yuehao, et al.
Publicado: (2022)
Bayesian Inference for Confounding Variables and Limited Information
por: Scharfenaker, Ellis, et al.
Publicado: (2025)
por: Scharfenaker, Ellis, et al.
Publicado: (2025)
Unified Inference on Moment Restrictions with Nuisance Parameters
por: Li, Xingyu, et al.
Publicado: (2022)
por: Li, Xingyu, et al.
Publicado: (2022)
Causal Inference in Counterbalanced Within-Subjects Designs
por: Ho, Justin, et al.
Publicado: (2025)
por: Ho, Justin, et al.
Publicado: (2025)
PLRD: Partially Linear Regression Discontinuity Inference
por: Ghosh, Aditya, et al.
Publicado: (2025)
por: Ghosh, Aditya, et al.
Publicado: (2025)
Randomization Inference in Two-Sided Market Experiments
por: Liu, Jizhou, et al.
Publicado: (2025)
por: Liu, Jizhou, et al.
Publicado: (2025)
Experimental Design For Causal Inference Through An Optimization Lens
por: Zhao, Jinglong
Publicado: (2024)
por: Zhao, Jinglong
Publicado: (2024)
A Convexified Matching Approach to Imputation and Individualized Inference
por: Hur, YoonHaeng, et al.
Publicado: (2024)
por: Hur, YoonHaeng, et al.
Publicado: (2024)
Serial-Dependence and Persistence Robust Inference in Predictive Regressions
por: Pitarakis, Jean-Yves
Publicado: (2025)
por: Pitarakis, Jean-Yves
Publicado: (2025)
Inference on Individual Treatment Effects in Nonseparable Triangular Models
por: Ma, Jun, et al.
Publicado: (2021)
por: Ma, Jun, et al.
Publicado: (2021)
Conformal Inference for Experimental Attrition in Social Science Research
por: Song, Xiangyu
Publicado: (2026)
por: Song, Xiangyu
Publicado: (2026)
Randomization Inference For the Always-Reporter Average Treatment Effect
por: Chang, Haoge, et al.
Publicado: (2026)
por: Chang, Haoge, et al.
Publicado: (2026)
Inference for Low-rank Models without Estimating the Rank
por: Choi, Jungjun, et al.
Publicado: (2023)
por: Choi, Jungjun, et al.
Publicado: (2023)
Non-parametric Causal Inference in Dynamic Thresholding Designs
por: Ghosh, Aditya, et al.
Publicado: (2025)
por: Ghosh, Aditya, et al.
Publicado: (2025)
Inference on many jumps in nonparametric panel regression models
por: Chen, Likai, et al.
Publicado: (2023)
por: Chen, Likai, et al.
Publicado: (2023)
Robust Estimation and Inference in Panels with Interactive Fixed Effects
por: Armstrong, Timothy B., et al.
Publicado: (2022)
por: Armstrong, Timothy B., et al.
Publicado: (2022)
Uniform Inference on High-dimensional Spatial Panel Networks
por: Chernozhukov, Victor, et al.
Publicado: (2021)
por: Chernozhukov, Victor, et al.
Publicado: (2021)
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
por: Kato, Masahiro
Publicado: (2024)
por: Kato, Masahiro
Publicado: (2024)
Ejemplares similares
-
Treatment-Effect Estimation in Complex Designs under a Parallel-trends Assumption
por: de Chaisemartin, Clément, et al.
Publicado: (2025) -
Difference-in-Differences Estimators of Intertemporal Treatment Effects
por: de Chaisemartin, Clément, et al.
Publicado: (2020) -
Linear Regressions with Combined Data
por: D'Haultfoeuille, Xavier, et al.
Publicado: (2024) -
Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models
por: Davezies, Laurent, et al.
Publicado: (2021) -
Analytic inference with two-way clustering
por: Davezies, Laurent, et al.
Publicado: (2025)