Course # 42000 Section Number 1 Day(s) M- W Time(s) 10:30am-11:50am Term Fall 2023 Specialization Data Analytics Course Instructor Steven Durlauf Syllabus Syllabus 9/18/23 This course is the first in a three-part sequence designed to cover applied econometrics and regression methods at a fairly advanced level. This course provides a theoretical analysis of linear regression models for applied researchers. It considers analytical issues caused by violations of the Gauss-Markov assumptions, including linearity (functional form), heteroscedasticity, and panel data. Alternative estimators are examined to deal with each. Familiarity with matrix algebra is necessary. Notes Registration open to Harris PhD and MACRM students only. Any remaining seats available for Harris students and non-Harris PhD students. Harris students must attend Harris PhD Math Methods and add themselves to the waitlist when registration opens to request enrollment if a seat remains. Course Prerequisite In order to register for this course you must be a PPHA Phd student, PPHA-MAR student or a PECO PhD student. Quarter Title Instructor Day(s) Time(s) Syllabus Fall 2023 Applied Econometrics I Steven Durlauf Monday, Wednesday 10:30am-11:50am Syllabus Recent News More news Natasha Mathur, MSCAPP’19, on the Connection Between the Real World and Data Tue., June 25, 2024 Research Professor Robert Kaestner Assesses Effects of Increased Income on Infant Health Tue., June 18, 2024 Harris Voices: Miguel A. Blancarte, Jr., CLA'21, on Growth During Trying Times Mon., June 17, 2024 Upcoming Events More events UChicago Harris Coffee Chat in Seoul Sun., June 30, 2024 | 10:00 AM Offer Bakery Cafe 21 Hongik-ro 5-gil Mapo-gu Seoul 04039 South Korea Harris Campus Visit Wed., July 10, 2024 | 10:00 AM Keller Center 1307 E 60th St Chicago, IL 60637 United States Harris Evening Master's Program Information Session Wed., July 10, 2024 | 12:00 PM