Short story: Regardless of your specialty, this workshop is designed to improve your research plans, yourdissertations, and your job prospects.
Using applications ranging from politics to health to criminology to economics, you’ll learn to rip apart researchdesigns and causal claims. The goal is to help students sharpen their skills as consumers and producers of appliedempirical research.
You’ll learn how to design better data collection, test for robustness and sensitivity, interpret coefficients, and fixcausal concerns you never knew you had. It’s a dissertation paper boot camp. By the end of class, you’ll knowwhen to hold it, when to fold it, when to walk away, and when to run.
Topics
CITATION
Blattman, Chris. 2010. Research Design and Causal Inference, Yale University (Syllabus). Center for Global Development.DISCLAIMER & PERMISSIONS
CGD's publications reflect the views of the authors, drawing on prior research and experience in their areas of expertise. CGD is a nonpartisan, independent organization and does not take institutional positions. You may use and disseminate CGD's publications under these conditions.