The DOI matches its Crossref record; 36 of the 37 references it cites were found in a registry or an index.
Inference in Differences-in-Differences with Few Treated Groups and Heteroskedasticity
Abstract
We derive an inference method that works in differences-in-differences settings with few treated and many control groups in the presence of heteroskedasticity. As a leading example, we provide theoretical justification and empirical evidence that heteroskedasticity generated by variation in group sizes can invalidate existing inference methods, even in data sets with a large number of observations per group. In contrast, our inference method remains valid in this case. Our test can also be combined with feasible generalized least squares, providing a safeguard against misspecification of the serial correlation.
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“Ferman and Pinto (2019) extend the approach of Conley and Taber (2011) to allow for heteroskedasticity caused by heterogeneity in group sizes or other observable characteristics, but must still restrict heterogeneity based on unobserved characteristics (e.g. unobserved treatment effect heterogeneity).”
From What's trending in difference-in-differences? A synthesis of the recent econometrics literature (2023) · cites this paper as Ferman and Pinto (2019)
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Cites
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Bootstrap-Based Improvements for Inference With Clustered Errors
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Wooldridge, J. M. (2003) · American Economic Review · doi:10.1257/000282803321946930 · Cited by 1,183
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1 of the 37 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Behrens Walter, 1929, Landwirtschaftliche Jahrbucher, 68, 807
- Bell R. M., 2002, Survey Methodology, 28, 169
- Fisher Ronald A., 1935, The Design of Experiments
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Difference-in-Differences with multiple time periods
Callaway, B., & Sant’Anna, P. H. C. (2021) · Journal of Econometrics · doi:10.1016/j.jeconom.2020.12.001 · Cited by 9,126
The Effect of Minimum Wages on Low-Wage Jobs*
Cengiz, D., Dube, A., Lindner, A., & Zipperer, B. (2019) · The Quarterly Journal of Economics · doi:10.1093/qje/qjz014 · Cited by 2,688
What's trending in difference-in-differences? A synthesis of the recent econometrics literature
Roth, J., Sant’Anna, P. H. C., Bilinski, A., & Poe, J. (2023) · Journal of Econometrics · doi:10.1016/j.jeconom.2023.03.008 · Cited by 2,027
“It is often assumed that ϵ ijt are iid mean-zero across i and j (and sometimes t ); see, e.g., Donald and Lang (2007), Conley and Taber (2011), and Ferman and Pinto (2019).”
The Triple Difference Estimator
Olden, A., & Møen, J. (2020) · Econometrics Journal · doi:10.1093/ectj/utac010 · Cited by 448
Face masks considerably reduce COVID-19 cases in Germany
Mitze, T., Kosfeld, R., Rode, J., & Wälde, K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2015954117 · Cited by 457
Metadata
- Authors
- Ferman, B., & Pinto, C.
- Affiliations
- Escola de Economia de São Paulo (BR)
- Venue
- The Review of Economics and Statistics
- Publisher
- MIT Press
- Published
- 2019-07
- Volume
- 101
- Issue
- 3
- Pages
- 452-467
- ISSN
- 0034-6535 (ISSN-L)
- 1530-9142
- OpenAlex
- W2113132502
- Cited by
- 178
- References
- 37
- Citations by year
- 2026: 41 · 2025: 19 · 2024: 20 · 2023: 14 · 2022: 21 · 2021: 24 · 2020: 18 · 2019: 12
- FWCI
- 11.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Review of Economics and Statistics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- difference-in-differences, heteroscedasticity, inference, serial correlation, feasible generalized least squares, model misspecification, causal inference
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