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Applied Economics (2409)
Basic information
Applied Economics
admission procedure terminated
Programme focus: Lifelong learning programme - Interest-oriented
Provider: Centre for Economic Research and Graduate Education
Center for Economic Research and Graduate Education [64-CERGE]
The goal of Quantitative Methods 1 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.
The goal of Quantitative Methods 2 course is to equip students with basic understanding of the standard econometric methods, as well as experience with empirical analysis. Regular hands-on sessions will allow students to master the estimation techniques, first by replicating the textbook examples, then by solving selected empirical assignments and carrying out two empirical projects. These techniques are widely used in economic research carried out in governmental institutions, international organizations, central banks, as well as financial and business environment.

Schedule details
Statistics for the MEYS
Economics (0311)
Course requirements and qualification acquired
písemný test
Certification: Osvědčení o absolvování programu
Guarantor and venue
prof. RNDr. Jan Hanousek, CSc., DSc.
Center for Economic Research and Graduate Education
Center for Economic Research and Graduate Education
Applied Economics
Dates and duration
winter semester
80 (total number of hours)
Fees and financing
18000 Kč / programme
Účatník zaplatí 18.000 Kč za 2 semestry.
Politických vězňů 7, 11121 Praha 1
Center for Economic Research and Graduate Education
Eliška Vinšová
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