Statistics II - Statistics II, Group D 1

Participation Prerequisites

A firm grasp of basic tools of inferential statistics: Estimators, point and interval estimators and hypothesis tests. (Statistics I)

Course Content

Statistics II builds on the idea idea of statistical inference to discuss further topics:

·        Small samples

·        Difference in means

·        Treatment effects

·        Regression with one regressor

Intended Learning Outcomes and Competencies

Upon completion of the course Statistics II students will have a basic understanding of the tool of regression analysis: How can a sample be used to estimate a linear relationship between two variables? Students will gain an appreciation for the prerequisites such that statements about causality in regression can be made. In addition, students will be able to understand and detect problems of selection bias and the importance of randomization in empirical work, in particular in relation to regression analysis.

Instruction Type

Präsenzstudium

Form of Examination

Written Exam

Literature

Stock, James, Mark Watson, 2019, Introduction to Econometrics, 4. edition, Pearso; Ebook: https://elibrary.pearson.de/book/99.150005/9781292264523

Heumann, Christian, Schomaker, Michael, Shalabh, 2016, Introduction to Statistics and Data Analysis , Springer