PPOL-502 REGRESSION METHODS FOR POLICY ANALYSIS (QUANT II)
Spring for 2017-2018
This class is the second of a three-part sequence in Quantitative Methods. In this course, students further study multivariate regression analysis with a main focus on ordinary least squares (OLS) regression and a modest focus on probit and logit regression. Topics include hypothesis testing, heteroskedasticity, omitted variable bias, measurement error, and topics related to model specification. The course concludes with section on research methods. Topics include causality, internal validity and external validity, sampling and weighting, measure validity and reliability, and missing data. The statistical package Stata is used.
Credits: 3
Prerequisites: PPOL 501 OR EQUIVALENT
More information
Look for this course in the schedule of classes.

The academic department web site for this program may provide other details about this course.