A Panel Data Approach for Program Evaluation — Measuring the Benefits of Political and Economic Integration of Hong Kong with Mainland China

By Cheng Hsiao, H. Ching, Shui Ki Wan. 2012

363 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/99b4201b3264f3cdad9ceda7294ec8ad534cb63d

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Citations in the corpus

Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach (2017, methodology): “To solve this problem, we follow Hsiao et al. (2012) using the 2-step procedure: Step 1: Use R(2) to select a best predictor for 0 1t y using m non-HSR cities out of 1 N non-HSR cities, denoted by * ( ) M m , for 1 1,.”
Revisiting the synthetic control estimator (2016, methodology): “These results do not rely on the fact the SC unit is constrained to convex combinations of control units, which implies that they also apply to the panel data approach suggested in Hsiao et al. (2012). One important implication of the SC restriction to convex combinations of the control units is tha”
Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data (2019, background): “Hsiao, Ching, and Wan (2012) assumed that potential outcome has a factor structure and considers estimation when the sample size is too small for estimation of the common factors.”
Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls (2016, methodology): “Hsiao et al. (2012) use an interactive effect model to study the effect on Hong Kong’s domestic product of two policies of convergence with mainland China that were implemented at the turn of this century.”
Revisiting event study designs: robust and efficient estimation (2021, background): “, 2010) and interactive fixed effects (Hsiao et al., 2012) features estimators with similar structure in settings with just one treated unit, in which treatment effect heterogeneity is not a main focus.”
NBER WORKING PAPER SERIES MATRIX COMPLETION METHODS FOR CAUSAL PANEL DATA MODELS (2018, neutral): “Xu (2017) implements this interactive fixed effect approach to the matrix completion problem in the special case with blocked assignment, with additional applications in Gobillon and Magnac (2013); Kim and Oka (2014) and Hsiao et al. (2012).”
ArCo: An artificial counterfactual approach for high-dimensional panel time-series data (2018, neutral): “Hsiao et al. (2012) considered a two-stepmethodwhere in the first step, the counterfactual for a single treated variable is constructed as a linear combination of a low-dimensional set of covariates from pre-selected elements from a pool of peers.”
Estimation of average treatment effects with panel data: Asymptotic theory and implementation (2017, methodology): “Under some conditions including HCW 1 to HCW 4, Hsiao et al. (2012) show ∆̂1 − ∆̄1 p → 0 as T1, T2 → ∞, where ∆̄1 = T−12 T t=T1+1 ∆1t .”
The treatment-effect estimation: A case study of the 2008 economic stimulus package of China (2015, methodology): “In particular, we return to the framework of Hsiao, Ching, and Wan (2012), relax their linear conditional mean assumption, and extend it to a semi-parametric setting.”