Course # 41400 Section Number 1 Day(s) M- W Time(s) 3:00pm-4:20pm Term Winter 2025 Course Instructor Sheng-Hao Lo Syllabus Syllabus 12/10/24 Students must have completed PPHA 31102 Statistics for Data Analysis II or equivalent, or obtain instructor consent to enroll. This course is based on the theory and practice of econometrics. Its intention is to provide hands-on experience with econometric analysis, without neglecting sound knowledge of econometric theory. It is designed to help students acquire skills that make them effective consumers and producers of empirical research in public policy, economics and related fields. Throughout the course, concepts will be illustrated with application in economics. Various aspects will be covered in the course, in particular: i) review of linear regression; ii) specification and estimation of econometric models for causal inference; iii) model building, selection and cross-validation for prediction; and iv) time series models and forecasting. Quarter Title Instructor Day(s) Time(s) Syllabus Winter 2025 Applied Regression Analysis Sheng-Hao Lo Monday, Wednesday 3:00pm-4:20pm Syllabus Recent News More news University of Chicago’s Harris School of Public Policy and Institute for Climate and Sustainable Growth Launch New Pathbreaking Master’s Program in Climate and Energy Policy Tue., July 08, 2025 Provost Katherine Baicker Appointed Emmett Dedmon Distinguished Service Professor Thu., July 03, 2025 Alumni Profile: Daisuke Kageyama, MPP'23 Thu., June 26, 2025 Upcoming Events More events Get to Know Harris! A Virtual Information Session Wed., July 09, 2025 | 8:30 AM Harris Alumni Roundtables in Washington, DC: Transitions between public and private sector roles Wed., July 09, 2025 | 8:30 AM Office of Federal Relations 1730 Pennsylvania Ave NW Washington, DC 20006 United States Harris Summer Mixer in Washington, DC: Cultivating Policy Connections Thu., July 10, 2025 | 5:00 PM Harris Summer Mixer in Washington, DC: Cultivating Policy Connections Office of Federal Relations 1730 Pennsylvania Ave NW Washington,, DC 20006 United States