Advanced Topics in Maximum Likelihood Estimation

Instructor(s):

• Bradford Jones, Political Science, University of California, Davis
• Gregory Wawro, Political Science, Columbia University

This is the second course offered in sophisticated models that rely on maximum likelihood as their methods of estimation. The course for 2009 will be devoted to the analysis of data over time and across units. Modeling perspectives covered will include survival and event history analysis, as well as models for repeated observations, focusing on panel and time series-cross sectional approaches for both continuous and qualitative dependent variables. A prior course in maximum likelihood estimation and in generalized linear models (such as probit, logit, and event counts) at the level of King's Unifying Political Methodology is a prerequisite for this course, in addition to a course in multiple regression in matrix form.

Dates:  July 20-August 14 

Fee:  consult the fee structure