A Design-Based Approach
Thad Dunning
This unique book is the first comprehensive guide to
the discovery, analysis, and evaluation of natural experiments - an increasingly
popular methodology in the social sciences. Thad Dunning provides an
introduction to key issues in causal inference, including model specification,
and emphasizes the importance of strong research design over complex
statistical analysis. Surveying many examples of standard natural experiments,
regression-discontinuity designs, and instrumental-variables designs, Dunning
highlights both the strengths and potential weaknesses of these methods, aiding
researchers in better harnessing the promise of natural experiments while
avoiding the pitfalls. Dunning also demonstrates the contribution of
qualitative methods to natural experiments and proposes new ways to integrate
qualitative and quantitative techniques. Chapters complete with exercises and
appendices covering specialized topics such as cluster-randomized natural
experiments, make this an ideal teaching tool as well as a valuable book for
professional researchers.