Introduction to Maximum Likelihood and Limited Dependent Variables

We begin the course with a review of the statistical theory of maximum likelihood. During the first two days the general linear model will be used as a heuristic for developing your understanding of the theory of likelihood. The remainder of the course will provide an overview of techniques in three broad categories. Day three will extend the basic framework by developing binomial models. Day four will extend to multinomial models. Finally, day five will develop binomial models with multiple trials (i.e., count models).

Course leader

B. Dan Wood Texas A&M University

Target group

Advanced students and junior researchers in political science and adjacent disciplines

Course aim

as above