Amsterdam, Netherlands

Applied Quantitative Methods to Analyse Business Data

The course focuses on quantitative applications to real-world business data, teaching students econometric methods (principles of statistical testing, multiple linear regression, logistic regression, time series regression, panel data analysis) and implementation of these methods (skill development) in the statistic software R.

Students will get to know different types of company data (cross-sectional, longitudinal, panel data), learn the basic frequentist approach to statistical test theory, and be introduced to the main workhorses of causal analysis. They will gather theoretical knowledge about these methods, their assumptions, and remedies to violations of these assumptions. Furthermore, students will apply this knowledge practically to data provided from openly available case studies and proprietary records from collaborating companies using the free statistical software R. Finally, academic articles applying the introduced methods teach students comprehension and interpretation of econometric research. Thus, (1) econometric knowledge, (2) implementation skills, and (3) understanding of empirical academic procedures are the main objectives of this course.

Course leader

Dr. Nico Schauerte

Fee info

EUR 1050: Tuition fees two-week course

VU Students/PhD candidates and employees of VU Amsterdam* or an Aurora Network Partner €700
Students at Partner Universities of VU Amsterdam €950
Students and PhD candidates at non-partner universities of VU Amsterdam €1050
Professionals €1250

Early Bird offer
Applications received before 15 March (14 March CET 23:59) receive €50 Early Bird discount!

Scholarships

VU Amsterdam Summer School offers two kinds of scholarships: the Equal Access Scholarship and the Photographer Scholarship. More information can be found on the VU Amsterdam Summer School website.