Copertina

A formal approach to variable selection in difference-in-differences

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rodrigues, Daniela, Hatfield, Laura A.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Nothing to See Here? A non-inferiority approach to parallel trends
di: Bilinski, Alyssa, et al.
Pubblicazione: (2018)

Generalizing Difference-in-Differences to Non-Canonical Settings: Identifying an Array of Estimands
di: Shahn, Zach, et al.
Pubblicazione: (2024)

Covariate balancing estimation and model selection for difference-in-differences approach
di: Baba, Takamichi, et al.
Pubblicazione: (2025)

A robust estimation and variable selection approach for sparse partially linear additive models
di: Martínez, Alejandra Mercedes
Pubblicazione: (2025)

Estimating treatment effects with a unified semi-parametric difference-in-differences approach
di: Thome, Julia C., et al.
Pubblicazione: (2025)

What is in the model? A Comparison of variable selection criteria and model search approaches
di: Xu, Shuangshuang, et al.
Pubblicazione: (2025)

A nutritionally informed model for Bayesian variable selection with metabolite response variables
di: Clark-Boucher, Dylan, et al.
Pubblicazione: (2025)

A general framework for formulating structured variable selection
di: Wang, Guanbo, et al.
Pubblicazione: (2021)

A neighbour selection approach for identifying differential networks in conditional functional graphical models
di: Mapelli, Alessia, et al.
Pubblicazione: (2026)

Semi-parametric local variable selection under misspecification
di: Rossell, David, et al.
Pubblicazione: (2023)

Multivariate Bayesian structured variable selection for pharmacogenomic studies
di: Zhao, Zhi, et al.
Pubblicazione: (2021)

Flexible survival regression with variable selection for heterogeneous population
di: Mandal, Abhishek, et al.
Pubblicazione: (2024)

Diagnostic tools for exploring differences in distributional properties between two samples: nonparametric approach
di: Ćmiel, Bogdan, et al.
Pubblicazione: (2025)

Transporting treatment effects from difference-in-differences studies
di: Renson, Audrey, et al.
Pubblicazione: (2023)

Bayesian variable selection in sample selection models using spike-and-slab priors
di: Iqbal, Adam J., et al.
Pubblicazione: (2023)

A cautious approach to constraint-based causal model selection
di: Malinsky, Daniel
Pubblicazione: (2024)

Repeated sampling of different individuals but the same clusters to improve precision of difference-in-differences estimators: the DISC design
di: Downey, Jordan, et al.
Pubblicazione: (2024)

Bayesian variable and hazard structure selection in the General Hazard model
di: Chen, Yulong, et al.
Pubblicazione: (2026)

Variance prior forms for high-dimensional Bayesian variable selection
di: Moran, Gemma E., et al.
Pubblicazione: (2018)

Operator-induced structural variable selection for identifying materials genes
di: Ye, Shengbin, et al.
Pubblicazione: (2021)

Doubly robust and computationally efficient high-dimensional variable selection
di: Chakraborty, Abhinav, et al.
Pubblicazione: (2024)

Model-free controlled variable selection via data splitting
di: Han, Yixin, et al.
Pubblicazione: (2022)

Reweighting the RCT for generalization: finite sample error and variable selection
di: Colnet, Bénédicte, et al.
Pubblicazione: (2022)

Inference conditional on selection: a review
di: Neufeld, Anna, et al.
Pubblicazione: (2026)

Guidelines for LASSO and derivatives use under different dependence and scale structures
di: Freijeiro-González, Laura, et al.
Pubblicazione: (2025)

Using causal diagrams to assess parallel trends in difference-in-differences studies
di: Renson, Audrey, et al.
Pubblicazione: (2025)

Efficient nonparametric estimation with difference-in-differences in the presence of network dependence and interference
di: Jetsupphasuk, Michael, et al.
Pubblicazione: (2025)

Addressing both variable selection and misclassified responses with parametric and semiparametric methods
di: Guo, Hui, et al.
Pubblicazione: (2026)

Uncertainty quantification and multi-stage variable selection for personalized treatment regimes
di: Bi, Jiefeng, et al.
Pubblicazione: (2024)

High-dimensional iterative variable selection for accelerated failure time models
di: Sanyal, Nilotpal
Pubblicazione: (2023)

A simple distributional difference-in-differences estimator for univariate and bivariate outcomes
di: Fernández-Val, Iván, et al.
Pubblicazione: (2024)

Towards a unified approach to formal risk of bias assessments for causal and descriptive inference
di: Pescott, Oliver L., et al.
Pubblicazione: (2023)

The EAS approach to variable selection for multivariate response data in high-dimensional settings
di: Koner, Salil, et al.
Pubblicazione: (2021)

Efficient estimation of longitudinal treatment effects using difference-in-differences and machine learning
di: Illenberger, Nicholas, et al.
Pubblicazione: (2024)

Flexible variable selection in the presence of missing data
di: Williamson, B. D., et al.
Pubblicazione: (2022)

The design of selection experiments using a model-based approach
di: Cullis, Brian R, et al.
Pubblicazione: (2026)

Nonparametric functional data classification and bandwidth selection in the presence of MNAR class variables
di: Mojirsheibani, Majid
Pubblicazione: (2025)

Multivariate Bayesian variable selection with application to multi-trait genetic fine mapping
di: Canida, Travis, et al.
Pubblicazione: (2022)

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors
di: Fan, Kun, et al.
Pubblicazione: (2025)

Transporting difference‐in‐differences estimates to assess health equity impacts of payment and delivery models
di: Katherine Ianni, et al.
Pubblicazione: (2024)