Jonathan Katz will be in Ann Arbor throughout the course and will offer a fixed reference point for us all. He will be available to answer your questions on both the substance of the course and the computer assignments. Jonathan will also handle grading of your assignments. Grading will be based on students' written and computer assignments. The instructors will provide datasets for the exercises, but students may find additional datasets of more interest to themselves.
All readings are to be done during the week indicated, as they are keyed to lecture materials.
The Likelihood Theory of Statistical Inference. Cambridge University Press. Eliason, Scott R. 1993. Aldrich, John, and Forrest Nelson. Linear Probability, Logit and Probit Models.