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 Alumni Profile: Alexandria Porter, PAC'23 Thu., May 16, 2024 10 Years at BIP Lab: Co-Founder Ariel Kalil on a Decade of Behavioral Insights and What Comes Next Tue., May 14, 2024 Cynthia Ma, MPP Class of 2025 Tue., May 14, 2024 Upcoming Events More events PKU-UChicago Summer School General Webinar with Alumni Perspectives Tue., May 21, 2024 | 8:30 PM Harris Evening Master's Program - Virtual Class with John Burrows Wed., May 22, 2024 | 5:00 PM Ask Admissions: SDG Challenge Program for High School Students Mon., May 27, 2024 | 8:30 PM