Synthetic Difference in Differences for Repeated Cross-Sectional Data

• Tác giả: Yoann Morin
• Ngôn ngữ: eng
• Ký hiệu phân loại: 522.74 Techniques, procedures, apparatus, equipment, materials
• Thông tin xuất bản: 2024
• Bộ sưu tập: Metadata
• ID: 204342

Tóm tắt

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.