Course # 42000 Day(s) Tu- Th Time(s) 1:30 PM - 2:50 PM Term Winter 2018 Syllabus Syllabus Registration open to Harris PhD and MACRM students only. No exceptions for non-Harris students, even by consent. 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 only. Harris students must attend Harris PhD Math Methods and add themselves to the waitlist when registration opens to request enrollment if a seat remains. Recent News More news 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 America is uniquely ill-suited to handle a falling population Wed., April 24, 2024 Upcoming Events More events SDG (Sustainable Development Goals) Challenge Program for High School Students: Navigating US College Admissions with Ranjan Daniels Mon., April 29, 2024 | 8:00 AM Data & Policy Summer Scholar (DPSS) Roundtable with Alumni Mon., April 29, 2024 | 7:30 PM Harris Evening Master's Program Class Visit—Economic Analysis III: Public Finance and Budgeting With Professor Justin Marlowe Tue., April 30, 2024 | 5:45 PM Convene 311 West Monroe St. 2nd Floor Reception Chicago, IL 60606 United States