Combining Panel Data Sets with Attrition and Refreshment Samples
By Keisuke Hirano, Guido W. Imbens, Geert Ridder, Donald B. Rubin. 2001
177 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Sociology and Political Science, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Susan Athey
- Stefan Wager
- Guido W. Imbens
- David A. Hirshberg
- Badi H. Baltagi
- M. D. Cattaneo
- Alberto Abadie
- Paul R. Rosenbaum
In Sociology and Political Science
- Susan Athey
- Badi H. Baltagi
- Stefan Wager
- David A. Hirshberg
- Guido W. Imbens
- N. Kuminoff
- Arun G. Chandrasekhar
In Statistics and Probability
- Stefan Wager
- Susan Athey
- David A. Hirshberg
- Guido W. Imbens
- Mihaela van der Schaar
- Victor Chernozhukov
- José R. Zubizarreta
- Ahmed M. Alaa
Citations in the corpus
- Approximate residual balancing: debiased inference of average treatment effects in high dimensions (2016, methodology): “|X admits a well-specified logistic model the methods of Graham et al. (2012, 2016) and Hainmueller (2012) are doubly robust (Zhao and Percival, 2017); see also Hirano et al. (2001), Imbens et al. (1998) and Newey and Smith (2004).”
- The Econometrics of Data Combination (2007, unknown): “p̃1 p1 F (y) ≤ F̃ (y) ≤ min { p̃2 p2 F (y), 1 } , y < F(p1) 1− p̃2 p2 (1− F (y)) ≤ F̃ (y) ≤ min { p̃2 p2 F (y), 1 } , F(p1) ≤ y < F(p2) 1− p̃2 p2 (1− F (y)) ≤ F̃ (y) ≤ 1− p̃1 p1 (1− F (y)), y ≥ F(p2) (56)”
- Econometric Analysis of Panel Data (2020, methodology): “Recommended readings on this subject include Hsiao’s (2003) Econometric Society monograph along with two chapters in the Handbook of Econometrics: chapter 22 by Chamberlain (1984) and chapter 53 by Arellano and Honoré (2001).”
- Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST) (2016, unknown): “Hirano et al. (2001) showed how calibration to marginal information from refreshment samples may be used to correct for certain types of nonignorable attrition in panel data.”
- Augmented minimax linear estimation (2017, methodology): “…that emphasize balance when paired with AIPW methodology (Athey et al., 2016; Chan et al., 2015; Graham et al., 2012, 2016; Hainmueller, 2012; Hirano et al., 2001, 2003; shows that our weights γ̂ will, if our tuning parameter σ in (8) is allowed to grow with sample size at the correct rate,…”