30219
Advanced seminar
WiSe 20/21: Intermediate Regression Analysis
Jan Paul Heisig
Information for students
Regular hands-on exercises and assignments will help students apply
these methods to actual data analysis problems in Stata. Some prior
knowledge of Stata is therefore highly recommended.
Comments
- the linear probability model and its limitations;
- the basic logic of logistic regression and other generalized linear models;
- prediction and interpretation (including average marginal/partial effects and marginal/partial effects at the mean);
- fundamentals of maximum likelihood estimation;
- model selection and goodness of fit; model diagnostics;
- (non-)comparability of coefficients across models and groups (optional).
15 Class schedule
Regular appointments
Thu, 2020-11-05 12:00 - 14:00
Thu, 2020-11-12 12:00 - 14:00
Thu, 2020-11-19 12:00 - 14:00
Thu, 2020-11-26 12:00 - 14:00
Thu, 2020-12-03 12:00 - 14:00
Thu, 2020-12-10 12:00 - 14:00
Thu, 2020-12-17 12:00 - 14:00
Thu, 2021-01-07 12:00 - 14:00
Thu, 2021-01-14 12:00 - 14:00
Thu, 2021-01-21 12:00 - 14:00
Thu, 2021-01-28 12:00 - 14:00
Thu, 2021-02-04 12:00 - 14:00
Thu, 2021-02-11 12:00 - 14:00
Thu, 2021-02-18 12:00 - 14:00
Thu, 2021-02-25 12:00 - 14:00