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Causal Inference Using Synthetic Control: The Ultimate Guide
In other posts, I’ve explained what causation is and how to do causal inference using quasi-experimental designs (DID, ITS, RDD). Almost for all research methods, they have to meet two preconditions in order to generate meaningful insights: 1. the treated group looks like the control group (similarity for comparability); 2. a... Read more
Research Note: What Are Natural Experiments? Methods, Approaches, and Applications
I enjoy reading Craig et al. (2017) ‘s review article on Natural Experiments (An Overview of Methods, Approaches, and Contributions to Public Health Intervention Research). In this post, I want to summarize its key points and attach some of my reflections about the development of causal inference. This review article... Read more