Note: This is the 2018–2019 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Overview
PPOL : Evidence-based policy evaluation using statistical analysis of data has been an area of intensive research. There has been widespread work on, and development of, techniques such as randomized controlled trials in the social sciences, methods for causal inference including quasi-randomization by a regression discontinuity studies, and so on. To ensure students are trained to appropriate professional standards, detailed examination of methods for statistical policy evaluation will be provided.
Terms: This course is not scheduled for the 2018-2019 academic year.
Instructors: There are no professors associated with this course for the 2018-2019 academic year.
Restriction: Students must be registered in the MPP program or have the permission of the program director and course instructor.
Students must be registered in the MPP program or have the permission of the program director and course instructor. Since this is the state-of-the-art in policy evaluation, students in a public policy program should be at a minimum trained to read and understand the results of studies.
