Arbeitspapier
Synthetic Difference-in-Differences Estimation
In this paper, we describe a computational implementation of the Synthetic difference-in-differences (SDID) estimator of Arkhangelsky et al. (2021) for Stata. Synthetic difference-in-differences can be used in a wide class of circumstances where treatment effects on some particular policy or event are desired, and repeated observations on treated and untreated units are available over time. We lay out the theory underlying SDID, both when there is a single treatment adoption date and when adoption is staggered over time, and discuss estimation and inference in each of these cases. We introduce the sdid command which implements these methods in Stata, and provide a number of examples of use, discussing estimation, inference, and visualization of results.
- Language
-
Englisch
- Bibliographic citation
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Series: IZA Discussion Papers ; No. 15907
- Classification
-
Wirtschaft
Estimation: General
Econometric Software
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Model Evaluation, Validation, and Selection
Computational Techniques; Simulation Modeling
- Subject
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difference-in-differences
synthetic control
synthetic difference-in-differences
estimation
inference
visualization
- Event
-
Geistige Schöpfung
- (who)
-
Clarke, Damian
Pailañir, Daniel
Athey, Susan
Imbens, Guido W.
- Event
-
Veröffentlichung
- (who)
-
Institute of Labor Economics (IZA)
- (where)
-
Bonn
- (when)
-
2023
- Handle
- Last update
-
10.03.2025, 11:42 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Clarke, Damian
- Pailañir, Daniel
- Athey, Susan
- Imbens, Guido W.
- Institute of Labor Economics (IZA)
Time of origin
- 2023
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