Day(s) Tuesday Thursday Time(s) 9:30 AM - 10:50 AM Course # PPHA 42100 Term Winter 2022 Certificate Program Data Analytics This course is the second 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. Prerequisites: This course is intended for first or second-year Ph.D. students or advanced masters-level students who have taken Applied Econometrics I. Familiarity with matrix algebra is necessary. Syllabus Notes Harris PhD & MA CRM students or instructor permission required. Instructor(s) Jeffrey Grogger Recent News Alumni Profile: Santiago Hoyos, MPP’21, Pearson Fellow Tue., June 28, 2022 Harris Public Policy Selects 2022-2023 Common Read Fri., June 24, 2022 More news Upcoming Events UChicago Harris Coffee Chat in Chicago, IL Fri., July 01, 2022 | 2:00 PM Plein Air Cafe 5751 South Woodlawn Ave Chicago, IL 60637 United States UChicago Harris Coffee Chat in Chicago, IL Thu., July 07, 2022 | 8:00 AM Plein Air Cafe 5751 South Woodlawn Ave Chicago, IL 60637 United States More events