Course Catalog

GRAD > PPOL-G > 605

Stats II: Econometrics

This required statistics course is the second term of the statistics sequence. It is devoted to three widely used regression methods in statistics and social science research: ordinary least squares, probit, and logit regression models. The approach is both theoretical and applied. The focus is on how to formulate a model, specify its mathematical form, and use it to test hypotheses and estimate outcomes. The course also explores some common statistical problems encountered in estimating regression models--including missing variables, multi-collinearity, and heteroskedasticity, and diagnostic procedures that identify these problems. This required statistics lab course is the second term of the statistics sequence. It is devoted almost exclusively to a study of multiple regression and time series analysis methods, focusing on regression diagnostics and remedies. Topics include weighted least squares and non-linear transformations, the special nature of dummy variables,and the particular problems associated with serially correlated errors in time series models. (Course offered in the spring only.)

Offered in:

2017 Spring

Section Class Number Schedule/Time Instructor Location
01 1888 W
09:30 - 12:30
Porell,Frank W W03-0125
Session: Regular
Class Dates: 01/23/2017
Capacity: 6
Enrolled: 9
Status: Closed
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req = Graduate degree student in Public Policy or Gerentology or Nursing
Course Attributes: