Imagen de Portada

Causal Graphs for Conditional Parallel Trends

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Knaus, Michael C., Pfleiderer, Henri
Formato:	Preprint
Publicado:	2026
Materias:	Econometrics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Treatment Effect Estimators as Weighted Outcomes
por: Knaus, Michael C.
Publicado: (2024)

Heterogeneity Analysis with Heterogeneous Treatments
por: Heiler, Phillip, et al.
Publicado: (2025)

Beyond Parallel Trends: An Identification-Strategy-Robust Approach to Causal Inference with Panel Data
por: Callaway, Brantly, et al.
Publicado: (2025)

Difference-in-Differences when Parallel Trends Holds Conditional on Covariates
por: Caetano, Carolina, et al.
Publicado: (2024)

Synthetic Parallel Trends
por: Liu, Yiqi
Publicado: (2025)

The Dynamic Triple Gamma Prior as a Shrinkage Process Prior for Time-Varying Parameter Models
por: Knaus, Peter, et al.
Publicado: (2023)

(Empirical) Bayes Approaches to Parallel Trends
por: Kwon, Soonwoo, et al.
Publicado: (2024)

Causal Panel Analysis under Parallel Trends: Lessons from a Large Reanalysis Study
por: Chiu, Albert, et al.
Publicado: (2023)

Estimating Treatment Effects in Panel Data Without Parallel Trends
por: Ishimaru, Shoya
Publicado: (2026)

A Joint Analysis of Sensitivity to Anticipation and Parallel Trends Violations
por: Fenaroli, Gianna
Publicado: (2026)

Valid Inference when Testing Violations of Parallel Trends for Difference-in-Differences
por: Mikhaeil, Jonas M., et al.
Publicado: (2025)

Graph Neural Networks for Causal Inference Under Network Confounding
por: Leung, Michael P., et al.
Publicado: (2022)

Dimension Reduction for Conditional Density Estimation with Applications to High-Dimensional Causal Inference
por: Mei, Jianhua, et al.
Publicado: (2025)

Comprehensive Causal Machine Learning
por: Lechner, Michael, et al.
Publicado: (2024)

Causal Inference for Spatial Treatments
por: Pollmann, Michael
Publicado: (2020)

Enabling Decision-Making with the Modified Causal Forest: Policy Trees for Treatment Assignment
por: Bodory, Hugo, et al.
Publicado: (2024)

Temperature in the Iberian Peninsula: Trend, seasonality, and heterogeneity
por: Rodríguez-Caballero, C. Vladimir, et al.
Publicado: (2024)

Trends and biases in the social cost of carbon
por: Tol, Richard S. J.
Publicado: (2024)

An Introduction to Causal Discovery
por: Huber, Martin
Publicado: (2024)

Causal Inference with Groupwise Matching
por: Rincón, Ratzanyel, et al.
Publicado: (2025)

Causal Inference for Aggregated Treatment
por: Caetano, Carolina, et al.
Publicado: (2025)

Causal Inference for Qualitative Outcomes
por: Di Francesco, Riccardo, et al.
Publicado: (2025)

Causal Mediation in Natural Experiments
por: Hogan-Hennessy, Senan
Publicado: (2025)

Conditional Forecasts in Large Bayesian VARs with Multiple Equality and Inequality Constraints
por: Chan, Joshua C. C., et al.
Publicado: (2024)

Seasonality in Mixed Causal-Noncausal Processes
por: Castro, Tomás del Barrio, et al.
Publicado: (2026)

Causal State-Dependent Local Projections
por: David, Joel M., et al.
Publicado: (2026)

Causal Duration Analysis with Diff-in-Diff
por: Deaner, Ben, et al.
Publicado: (2024)

Moderating the Mediation Bootstrap for Causal Inference
por: van Garderen, Kees Jan, et al.
Publicado: (2024)

Quantile Granger Causality in the Presence of Instability
por: Mayer, Alexander, et al.
Publicado: (2024)

Large-Scale Curve Time Series with Common Stochastic Trends
por: Li, Degui, et al.
Publicado: (2025)

Causal Machine Learning for Moderation Effects
por: Bearth, Nora, et al.
Publicado: (2024)

Partial Identification of Causal Effects that Vary by Setting
por: Huntington-Klein, Nick
Publicado: (2026)

Estimating Variances for Causal Panel Data Estimators
por: Almeida, Alexander, et al.
Publicado: (2025)

Identification of Causal Effects with a Bunching Design
por: Caetano, Carolina, et al.
Publicado: (2025)

Testability of Reverse Causality Without Exogenous Variation
por: Breunig, Christoph, et al.
Publicado: (2021)

Bayesian Double Machine Learning for Causal Inference
por: DiTraglia, Francis J., et al.
Publicado: (2025)

Do LLMs Act as Repositories of Causal Knowledge?
por: Huntington-Klein, Nick, et al.
Publicado: (2024)

Microfoundations and the Causal Interpretation of Price-Exposure Designs
por: Moreno-Louzada, Luca, et al.
Publicado: (2025)

Identifying Causal Effects in Information Provision Experiments
por: Balla-Elliott, Dylan
Publicado: (2023)

Fixed-Population Causal Inference for Models of Equilibrium
por: Menzel, Konrad
Publicado: (2025)