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Rejoinder to "Instrumented difference-in-differences".
Ye, Ting; Ertefaie, Ashkan; Flory, James; Hennessy, Sean; Small, Dylan S.
Afiliação
  • Ye T; Department of Biostatistics, University of Washington, Seattle, Washington, USA.
  • Ertefaie A; Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York, USA.
  • Flory J; Department of Subspecialty Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Hennessy S; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Small DS; Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Biometrics ; 79(2): 601-603, 2023 06.
Article em En | MEDLINE | ID: mdl-36314073
ABSTRACT
We thank all the discussants for the careful reading and insightful comments. In our rejoinder, we extend the discussion of how the assumptions of instrumented difference-in-differences (iDID) compare to the assumptions of the standard instrumental variable method. We also make additional comments on how iDID is related to the fuzzy DID. We highlight future research directions to enhance the utility of iDID, including extensions to adjust for covariate shift in two-sample iDID design, and generalization of iDID to multiple time points and a multi-valued instrumental variable for DID.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Biometrics Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Biometrics Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos