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Synthetic Difference in Differences for Repeated Cross-Sectional Data

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  • Yoann Morin

Abstract

The synthetic difference-in-differences method provides an efficient method to estimate a causal effect with a latent factor model. However, it relies on the use of panel data. This paper presents an adaptation of the synthetic difference-in-differences method for repeated cross-sectional data. The treatment is considered to be at the group level so that it is possible to aggregate data by group to compute the two types of synthetic difference-in-differences weights on these aggregated data. Then, I develop and compute a third type of weight that accounts for the different number of observations in each cross-section. Simulation results show that the performance of the synthetic difference-in-differences estimator is improved when using the third type of weights on repeated cross-sectional data.

Suggested Citation

  • Yoann Morin, 2024. "Synthetic Difference in Differences for Repeated Cross-Sectional Data," Papers 2409.20199, arXiv.org.
    • Handle: RePEc:arx:papers:2409.20199
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    File URL: http://arxiv.org/pdf/2409.20199
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