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 Student Profile: Carrie Collins, MPP Class of 2024 Tue., April 30, 2024 Alumni Profile: Eloísa Ávila-Uribe, MACRM’23 Fri., April 26, 2024 Ariel Kalil: Multigenerational households are key to better support for kids of single mothers Thu., April 25, 2024 Upcoming Events More events Get to Know Harris! A Virtual Information Session Wed., May 01, 2024 | 12:00 PM Campus Visit Wed., May 01, 2024 | 12:20 PM 1307 E 60th St Chicago, IL 60487 United States Harris Reunion Weekend 2024 Fri., May 03, 2024 | 12:00 PM 1307 E. 60th Street Chicago, IL 60613 United States