Course #
42000
Day(s)
Tu
-
Th
Time(s)
1:30 PM - 2:50 PM
Term
Winter 2018
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.