What’s trending in difference-in-differences? A synthesis of the recent econometrics literature

@article{Roth2022WhatsTI,
  title={What’s trending in difference-in-differences? A synthesis of the recent econometrics literature},
  author={Jonathan Roth and Pedro H. C. Sant’Anna and Alyssa M. Bilinski and John Poe},
  journal={Journal of Econometrics},
  year={2022}
}
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89 Citations
Highly Influential Citations
5
Background Citations
35
Methods Citations
12
Results Citations
5

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89 Citations

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105 References

How Much Should We Trust Staggered Difference-In-Differences Estimates?

Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in…

How Much Should We Trust Differences-in-Differences Estimates?

Most Difference-in-Difference (DD) papers rely on many years of data and focus on serially correlated outcomes. Yet almost all these papers ignore the bias in the estimated standard errors that…

The Role of Parallel Trends in Event Study Settings: An Application to Environmental Economics

A “robustness” versus “efficiency” trade-off in terms of the strength of the underlying PTA is documented and it is argued that practitioners should be explicit about these trade-offs whenever using DID procedures.

Pretest with Caution: Event-Study Estimates after Testing for Parallel Trends

  • J. Roth
  • Economics
    American Economic Review: Insights
  • 2022
This paper discusses two important limitations of the common practice of testing for preexisting differences in trends (“ pre-trends”) when using difference-in-differences and related methods. First,…

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Classic difference-in-differences estimation relies on the validity of the “parallel trends assumption” (PTA), which ensures that the evolution of the variable of interest in the control group can be…

Cluster-Sample Methods in Applied Econometrics

Inference methods that recognize the clustering of individual observations have been available for more than 25 years. Brent Moulton (1990) caught the attention of economists when he demonstrated the…

Semiparametric Difference-in-Differences Estimators

The difference-in-differences (DID) estimator is one of the most popular tools for applied research in economics to evaluate the effects of public interventions and other treatments of interest on…

An Honest Approach to Parallel Trends

Standard approaches for causal inference in difference-in-differences and event-study designs are valid only under the assumption of parallel trends. Researchers are typically unsure whether the…

Synthetic Difference-in-Differences

We present a new estimator for causal effects with panel data that builds on insights behind the widely used difference-in-differences and synthetic control methods. Relative to these methods we…

Cluster-robust inference: A guide to empirical practice

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