I had the opportunity to attend several method courses, amongst others:
Anja, Michael, Brett, Kristian and Thiago have been receptive to questions and provided valuable insights for me. Thank you.
I created a 2×2 design (2 groups at 2 times) with two slightly different interventions. Since there was no real control group, it is comparable to an A/B-test in marketing (which I later learned). I was fascinated by experimental studies which I got in touch with in my psychology studies. I proudly recruited 1226 people who participated at both interviews.
If you’ve done something like this, you understand what a one-man-army is about. I refined my knowledge about empirical studies, from study design, sample size planning, pilot studies, recruiting, data management, hypothesis testing, t-tests etc. etc.
The paper was graded with excellent at the chair of statistics.
At this stage, I was absolutely fascinated by questions such as: What is utility? How to measure it? Why optimize utility? Is there an optimal level of happiness? Why can’t we increase happiness (positive feeling) infinitely? Do we need a balance of positive and negative feelings? Should government interfer with happiness of its citizens? What can ecah individual do in order to increase one’s happiness? If personality affects happiness and personality is stable trait, is happiness deterministic?
I had no background in econometrics, programming or academic writing. Thus, with help of my friends, I learned everything from scratch in this first paper. From data management, statistics, regression to referencing. I used R and LaTeX.
The paper was graded with excellent at the chair of econometrics.
I work with students for more than 10 years.
I started my journey as a math instructor. I am enthusiastic about elegant tasks and explanations that everyone can understand. Now, I am fascinated about statistics and data analysis as well. Great insights are hidden deep inside of data. Statistics often seems to obscure the view via a veil of formulas.
Once you know how it works, it’s actually easy and can be fun!
The analysis is done with help of the statistical package R and results are reported in an R Markdown. In this course students learn and practice critical, statistical thinking based on complex rectangular panel data. I offer students the opportunity to become data fluent and learn major skills that they can use in their academic and business career.
Find out more: http://seminars-in-applied-economics.de/