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GRAD > PPOL-G > 605

Stats II: Econometrics

Description:
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

Offered in:

2016 Spring

Section Class Number Schedule/Time Instructor Location
01 2065 MW
10:00 AM - 11:50 AM
Porell,Frank W W03-0125
Session: Regular Academic Session
Class Dates: 01/25/2016 - 05/11/2016
Capacity: 6
Enrolled: 7
Status: Closed
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req = Graduate degree student in Public Policy or Gerentology or Nursing
Course Attributes:

2017 Spring

Section Class Number Schedule/Time Instructor Location
01 1888 W
09:30 AM - 12:30 PM
Porell,Frank W W03-0125
Session: Regular Academic Session
Class Dates: 01/23/2017 - 05/10/2017
Capacity: 6
Enrolled: 5
Status: Open
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req = Graduate degree student in Public Policy or Gerentology or Nursing
Course Attributes: