Data and Code For: Difference-in-Differences Designs: A Practitioner's Guide
收藏DataCite Commons2026-03-25 更新2026-05-03 收录
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https://www.openicpsr.org/openicpsr/project/239070/view
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资源简介：
Difference-in-differences (DiD) is arguably the most popular quasi-experimental research design. Its canonical form, with two groups and two periods, is well-understood. However, empirical practices can be ad hoc when researchers go beyond that simple case. This article provides an organizing framework for discussing different types of DiD designs and their associated DiD estimators. It discusses covariates, weights, handling multiple periods, and staggered treatments. The organizational framework, however, applies to other extensions of DiD methods as well.
提供机构：
ICPSR - Interuniversity Consortium for Political and Social Research
创建时间：
2026-03-25
