Copertina

Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component Analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Wang, Cong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Econometrics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Inference for Treatment Effects Conditional on Generalized Principal Strata using Instrumental Variables
di: Bai, Yuehao, et al.
Pubblicazione: (2024)

Estimation and Inference for Synthetic Control Methods with Spillover Effects
di: Cao, Jianfei, et al.
Pubblicazione: (2019)

Evaluating Counterfactual Policies Using Instruments
di: Kolesár, Michal, et al.
Pubblicazione: (2025)

Identification and Bayesian Inference for Synthetic Control Methods with Spillover Effects
di: Sakaguchi, Shosei, et al.
Pubblicazione: (2024)

Synthetic Decomposition for Counterfactual Predictions
di: Canen, Nathan, et al.
Pubblicazione: (2023)

Performance of Empirical Risk Minimization For Principal Component Regression
di: Brownlees, Christian, et al.
Pubblicazione: (2024)

Synthetic Control Inference for Staggered Adoption
di: Cao, Jianfei, et al.
Pubblicazione: (2019)

Does Principal Component Analysis Preserve the Sparsity in Sparse Weak Factor Models?
di: Wei, Jie, et al.
Pubblicazione: (2023)

Treatment Effects Inference with High-Dimensional Instruments and Control Variables
di: Chen, Xiduo, et al.
Pubblicazione: (2025)

Robust Inference with High-Dimensional Instruments
di: Feng, Qu, et al.
Pubblicazione: (2025)

A Synthetic Business Cycle Approach to Counterfactual Analysis with Nonstationary Macroeconomic Data
di: Shi, Zhentao, et al.
Pubblicazione: (2025)

The inclusive Synthetic Control Method
di: Di Stefano, Roberta, et al.
Pubblicazione: (2024)

The Logic of Counterfactuals and the Epistemology of Causal Inference
di: Lin, Hanti
Pubblicazione: (2024)

Quasi-Bayesian Local Projections: Simultaneous Inference and Extension to the Instrumental Variable Method
di: Tanaka, Masahiro
Pubblicazione: (2025)

Jackknife Instrumental Variable Inference
di: Crudu, Federico, et al.
Pubblicazione: (2026)

Bayesian and Frequentist Inference for Synthetic Controls
di: Martinez, Ignacio, et al.
Pubblicazione: (2022)

Inference with Many Weak Instruments and Heterogeneity
di: Yap, Luther
Pubblicazione: (2024)

The Harmonic Synthetic Control Method
di: Liu, Ziyi, et al.
Pubblicazione: (2026)

Principal Component Analysis for High-Dimensional Approximate Factor Models in Time Series: Assumptions, Asymptotic Theory, and Identification
di: Barigozzi, Matteo
Pubblicazione: (2022)

Temporal Aggregation for the Synthetic Control Method
di: Sun, Liyang, et al.
Pubblicazione: (2024)

Counterfactual Analysis in Empirical Games
di: Kline, Brendan, et al.
Pubblicazione: (2024)

Resistant Inference in Instrumental Variable Models
di: Klooster, Jens, et al.
Pubblicazione: (2024)

A Method of Moments Approach to Asymptotically Unbiased Synthetic Controls
di: Fry, Joseph
Pubblicazione: (2023)

Causal Inference with Groupwise Matching
di: Rincón, Ratzanyel, et al.
Pubblicazione: (2025)

Causal Inference for Aggregated Treatment
di: Caetano, Carolina, et al.
Pubblicazione: (2025)

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

Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
di: Agarwal, Abhineet, et al.
Pubblicazione: (2023)

Robust Inference when Nuisance Parameters may be Partially Identified with Applications to Synthetic Controls
di: Fry, Joseph
Pubblicazione: (2025)

Using Multiple Outcomes to Improve the Synthetic Control Method
di: Sun, Liyang, et al.
Pubblicazione: (2023)

Degrees of Freedom and Information Criteria for the Synthetic Control Method
di: Pouliot, Guillaume Allaire, et al.
Pubblicazione: (2022)

Testing Goodness-of-Fit for Conditional Distributions: A New Perspective based on Principal Component Analysis
di: Rui, Cui, et al.
Pubblicazione: (2024)

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

Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments
di: Chernozhukov, Victor, et al.
Pubblicazione: (2024)

Identifying Causal Effects of Discrete, Ordered and ContinuousTreatments using Multiple Instrumental Variables
di: Hoff, Nadja van 't
Pubblicazione: (2023)

Doubly Robust Identification of Causal Effects of a Continuous Treatment using Discrete Instruments
di: Dong, Yingying, et al.
Pubblicazione: (2023)

Correlated Synthetic Controls
di: Moev, Tzvetan
Pubblicazione: (2025)

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

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

Optimizing Patient Placement in Normal Care Units: An Instrumental Causal Forest Approach Minimizing Mortality
di: Cordier, Johannes
Pubblicazione: (2026)

From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
di: Shmueli, Galit, et al.
Pubblicazione: (2025)