Copertina

Starting Small: Prioritizing Safety over Efficacy in Randomized Experiments Using the Exact Finite Sample Likelihood

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Christy, Neil, Kowalski, A. E.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Econometrics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Counting Defiers: A Design-Based Model of an Experiment Can Reveal Evidence Beyond the Average Effect
di: Christy, Neil, et al.
Pubblicazione: (2024)

Limitations of Randomization Tests in Finite Samples
di: Dutz, Deniz, et al.
Pubblicazione: (2025)

Minimax-Regret Sample Selection in Randomized Experiments
di: Hu, Yuchen, et al.
Pubblicazione: (2024)

Exact Likelihood Inference and Robust Filtering for Gauss-Cauchy Convolution Models
di: Hansen, Peter Reinhard, et al.
Pubblicazione: (2026)

Finite Sample Inference in Incomplete Models
di: Li, Lixiong, et al.
Pubblicazione: (2022)

Endogenous Interference in Randomized Experiments
di: Gao, Mengsi
Pubblicazione: (2024)

Some Finite Sample Properties of the Sign Test
di: Cai, Yong
Pubblicazione: (2021)

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

Robust Identification in Randomized Experiments with Noncompliance
di: Kédagni, Désiré, et al.
Pubblicazione: (2024)

Empirical Likelihood for Random Forests and Ensembles
di: Chiang, Harold D., et al.
Pubblicazione: (2025)

Randomization Tests in Switchback Experiments
di: Liu, Jizhou, et al.
Pubblicazione: (2026)

Randomization Inference with Sample Attrition
di: Li, Xinran, et al.
Pubblicazione: (2025)

Cressie Read Power Divergence for Moment-Based Estimation: Hyperparameter and Finite Sample Behavior
di: Lee, Jieun, et al.
Pubblicazione: (2026)

Jacobian-free Efficient Pseudo-Likelihood (EPL) Algorithm
di: Fukasawa, Takeshi
Pubblicazione: (2024)

Empirical Likelihood Covariate Adjustment for Regression Discontinuity Designs
di: Ma, Jun, et al.
Pubblicazione: (2020)

Denoised IPW-Lasso for Heterogeneous Treatment Effect Estimation in Randomized Experiments
di: Guan, Mingqian, et al.
Pubblicazione: (2025)

Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties
di: Bazylik, Sergei, et al.
Pubblicazione: (2024)

Finite-Sample Distortion in Kernel Specification Tests: A Perturbation Analysis of Empirical Directional Components
di: Rui, Cui, et al.
Pubblicazione: (2025)

Coupling Designs for Randomized Experiments with Complex Treatments
di: Cytrynbaum, Max, et al.
Pubblicazione: (2026)

Randomization Inference in Two-Sided Market Experiments
di: Liu, Jizhou, et al.
Pubblicazione: (2025)

Finite Population Inference for Factorial Designs and Panel Experiments with Imperfect Compliance
di: Picchetti, Pedro
Pubblicazione: (2026)

Efficient and Convergent Sequential Pseudo-Likelihood Estimation of Dynamic Discrete Games
di: Dearing, Adam, et al.
Pubblicazione: (2019)

Slope Consistency of Quasi-Maximum Likelihood Estimator for Binary Choice Models
di: Chang, Yoosoon, et al.
Pubblicazione: (2025)

Nested Pseudo Likelihood Estimation of Continuous-Time Dynamic Discrete Games
di: Blevins, Jason R., et al.
Pubblicazione: (2021)

Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Empirical Likelihood Estimators
di: Lee, Seojeong
Pubblicazione: (2018)

Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes
di: Bugni, Federico, et al.
Pubblicazione: (2022)

Inference for Two-stage Experiments under Covariate-Adaptive Randomization
di: Liu, Jizhou
Pubblicazione: (2023)

Prior-Free Sample Size Design for Test-and-Roll Experiments
di: Kawato, Kentaro, et al.
Pubblicazione: (2026)

Design-Based and Network Sampling-Based Uncertainties in Network Experiments
di: Sakamoto, Kensuke, et al.
Pubblicazione: (2025)

Maximum Likelihood Estimation of Stochastic Frontier Models with Endogeneity
di: Centorrino, Samuele, et al.
Pubblicazione: (2020)

Likelihood-Based Ergodicity Transformations in Time Series Analysis
di: Britto, Anthony
Pubblicazione: (2026)

Finite‐Sample Identification‐Robust Inference for Nonlinear DSGE Models
di: Lynda Khalaf, et al.
Pubblicazione: (2025)

Using Prior Studies to Design Experiments: An Empirical Bayes Approach
di: You, Zhiheng
Pubblicazione: (2026)

Mind the Income Gap: Bias Correction of Inequality Estimators in Small-Sized Samples
di: De Nicolò, Silvia, et al.
Pubblicazione: (2021)

A Note on Uncertainty Quantification for Maximum Likelihood Parameters Estimated with Heuristic Based Optimization Algorithms
di: Porreca, Zachary
Pubblicazione: (2024)

R. A. Fisher's Exact Test Revisited
di: Mugnier, Martin
Pubblicazione: (2024)

Uniform Critical Values for Likelihood Ratio Tests in Boundary Problems
di: Cavaliere, Giuseppe, et al.
Pubblicazione: (2025)

Asymptotic Theory for Clustered Samples
di: Hansen, Bruce E., et al.
Pubblicazione: (2019)

A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances
di: Bai, Yuehao, et al.
Pubblicazione: (2024)

Fast Posterior Sampling in Tightly Identified SVARs Using 'Soft' Sign Restrictions
di: Read, Matthew, et al.
Pubblicazione: (2026)