Jan Hanousek

Recent teaching

Available in local Moodle system

Data analysis using STATA, MAE (master course)
Course Overview and Goals
The goal of this course is to provide students with knowledge of using statistical software – STATA. In particular, they will learn how to link, organize data, variables; how to create useful structures, graphs, tables, diagrams that could be used for quantitative methods or/and data analysis. We will practice use of programming tools from easy batch files to more complicated structures used for running data analyses in loops and sequences. The course will also emphasize empirical analysis and focus on the use of data in practice along with references to other statistical software, as well. If possible, economics, financial, and business applications will be chosen during the course to reflect the interests and backgrounds of students. At the end of the course, students should be able to independently use Stata for various purposes, including data management, data analysis, tabulation, creation various pictures and graphs, application of various scientific methods and intermediate steps in research projects. [COURSE PAGE]

Quantitative methods, MAE (master course)
Course Overview and Goals
The goal of this course is to provide students with knowledge of the elements of statistical inference, namely multivariate statistics and multivariate data analysis methods. Students will understand and be able to perform standard descriptive and inferential data analysis, investigate and test relationship between variables as well as specify, use and interpret multivariate models, including regression-type models. The course will also emphasize empirical analysis and focus on the use of data in practice along with the use of available statistical software. An empirical project is an integral part of the course. If possible, economics, financial, and business applications will be chosen during the course to reflect the interests and backgrounds of students. [COURSE PAGE]