Maximum likelihood estimation and advanced regression
applications. Topics include models with qualitative or limited
dependent variables (binary, ordered, and unordered logit and
probit; event count models), regression with time series
cross-sectional data, models with missing data and measurement
models.
Athena Title
Adv Quantitative Methods I
Prerequisite
POLS 7014
Semester Course Offered
Offered every year.
Grading System
A - F (Traditional)
Student learning Outcomes
Students will learn to interpret and use advanced quantitative techniques in political science research. Methods of evaluating student progress include homework exercises and a paper.
Topical Outline
I. Qualitative and Limited Dependent Variables
A. Binary Logit and Probit
B. Ordered Logit and Probit
C. Multinomial Logit, Conditional Logit, Nested Logit, Multinomial Probit
II. Event Count Models and Duration Analysis
III. Missing Data Techniques
IV. Measurement Models
V. A Unifying Approach through the Generalized Linear Model
