Discussion on "Instrumented difference-in-differences" by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small
- PMID: 36369777
- DOI: 10.1111/biom.13779
Discussion on "Instrumented difference-in-differences" by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small
Abstract
We discuss Ye et al. 2022, which combines instrumental variables methods with difference in differences. First, we compare the paper to other works in the difference in differences literatures and argue that the main contribution lies in the multiply robust estimation approach. Then, we reformulate the causal assumptions in Ye et al. 2022 in the usual theoretical framework of the instrumental variables literature. This clarifies in which sense the difference in differences design can weaken the standard instrumental variable conditions.
Keywords: differences-in-differences; instrumental variable; multiply robust inference.
© 2022 The International Biometric Society.
Comment on
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Instrumented difference-in-differences.Biometrics. 2023 Jun;79(2):569-581. doi: 10.1111/biom.13783. Epub 2022 Nov 9. Biometrics. 2023. PMID: 36305081 Free PMC article.
References
REFERENCES
-
- Abadie, A. (2005) Semiparametric difference-in-differences estimators. The Review of Economic Studies, 72(1), 1-19.
-
- Carrasco, M., Florens, J. P. & Renault, E. (2007) Linear inverse problems in structural econometrics estimation based on spectral decomposition and regularization. Handbook of Econometrics, 6, 5633-5751.
-
- Chernozhukov, V. & Hansen, C. (2005) An IV model of quantile treatment effects. Econometrica, 73(1), 245-261.
-
- De Chaisemartin, C. & d'Haultfoeuille, X. (2018) Fuzzy differences-in-differences. The Review of Economic Studies, 85(2), 999-1028.
-
- De Chaisemartin, C. & D'Haultfoeuille, X. (2022) Two-way fixed effects and differences-in-differences with heterogeneous treatment effects: a survey. Technical report.
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