Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction

An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls

(2021) Victor Chernozhukov et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity

(2021) Ricardo Masini et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects

(2021) Alberto Abadie   JOURNAL OF ECONOMIC LITERATURE

Factor-adjusted regularized model selection

(2020) Jianqing Fan et al.   JOURNAL OF ECONOMETRICS

Counterfactual Analysis and Inference with Nonstationary Data

(2020) Ricardo Masini et al.   JOURNAL OF BUSINESS & ECONOMIC STATISTICS

Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods

(2019) Kathleen T. Li   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

ArCo: An artificial counterfactual approach for high-dimensional panel time-series data

(2018) Carlos Carvalho et al.   JOURNAL OF ECONOMETRICS

Estimation of average treatment effects with panel data: Asymptotic theory and implementation

(2017) Kathleen T. Li et al.   JOURNAL OF ECONOMETRICS

The treatment-effect estimation: A case study of the 2008 economic stimulus package of China

(2015) Min Ouyang et al.   JOURNAL OF ECONOMETRICS

Home-purchase restriction, property tax and housing price in China: A counterfactual analysis

(2015) Zaichao Du et al.   JOURNAL OF ECONOMETRICS

Eigenvalue Ratio Test for the Number of Factors

(2013)   ECONOMETRICA

Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program

(2010) Alberto Abadie et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION