This course studies the methods used in modern program evaluation and micro-econometrics to identify causal effects in the presence of potentially unobserved confounding factors. Covers a range of methods and designs, both experimental and quasi-experimental. There is a heavy emphasis on the application of these methods to a broad range of economic questions. Note: hands-on analysis of real-world data using computer programs is a course requirement. The course is open to all students who meet the prerequisites and necessary support for applicable software is provided.
This course studies the methods used in modern program evaluation and micro-econometrics to identify causal effects in the presence of potentially unobserved confounding factors. Covers a range of methods and designs, both experimental and quasi-experimental. There is a heavy emphasis on the application of these methods to a broad range of economic questions. Note: hands-on analysis of real-world data using computer programs is a course requirement. The course is open to all students who meet the prerequisites and necessary support for applicable software is provided.
