Prof. Dr. Susanne Soretz, Dipl.-Kffr. Sophie Keipke
Programme number: 2202056
Tuesdays 14:00 to 16:00 hrs

More detailed and up-to-date information will regularly be made available via moodle.

MSc Ahmad Barlas
Programme number: 2202164
Tuesdays 08:00 to 10:00 hrs

More detailed and up-to-date information will regularly be made available via moodle.

MSc Nico Wäschenbach
Programme number: 2202060
Dates: 22.06.2023 | 29.06.2023 | 06.07.2023 | 13.07.2023 |
Thursdays 09:00 to 12:00 hrs

More detailed and up-to-date information will regularly be made available via moodle.

PhD Vajiheh Afzali Abarghouei, Dipl.-Kffr. Sophie Keipke
Programme number: 2202117
Dates: 23.06.2023 | 30.06.2023 | 07.07.2023 | 14.07.2023 | 21.07.2023
Fridays 14:00 to 18:00 hrs

More detailed and up-to-date information will regularly be made available via moodle.

PhD Vajiheh Afzali Abarghouei
Programme number: 2202240

More detailed and up-to-date information will regularly be made available via moodle.

Prof. Dr. rer. pol. Susanne Soretz, Dipl.-Kffr. Sophie Keipke

Programme number 220253  /  Location: Ernst-Lohmeyer-Platz 6 - Hörsaal 1

Tuesdays 12 - 14 pm

This course will take place in inverted classroom format. More detailed and up-to-date information will regularly be made available via moodle.

In this lecture we will be asking why we can afford so much more than our grandparents and why income growth is not steady but subject to economic fluctuations. In addition, we will be investigating why economic growth is not proceeding at the same pace across all countries, but growing more slowly in some parts of the world. In view of a finite supply of non-renewable resources, we also address the question of whether our income can continue to grow indefinitely, or whether economic growth will have to decline at some point, due to a lack of affordable energy. The lecture "Business Cycles and Economic Growth" also counts as an introductory lecture to the specialization "Economic Growth, Structural Change and Trade".

Dr. rer. pol. Birgit Kirschbaum-Behl

Programme number 2202059   /   Location: Wollweberstraße 1 - Hörsaal

Tuesdays 8 - 10 hrs

This course will take place during the second half of the academic year. More detailed and up-to-date information will regularly be made available via moodle.

At the end of the semester you can take an exam (Scheinklausur) on “Business Cycles and Economic Growth” and gain a certificate of successful attendance.

Dr. rer. pol. Birgit Kirschbaum-Behl

Programme number 2202057   /  Location: Wollweberstraße 1 - Hörsaal

Mondays 16 - 18 hrs / Tuesdays 8 - 10 hrs
This lecture will take place during the first half of the academic year.

More detailed and up-to-date information will regularly be made available via moodle.

The German economy is strongly integrated globally. Whereas many people benefit, others are staunch opponents of globalization. In this lecture we examine the reasons for this. We show that international trade benefits all participating nations when factor endowments or production technologies differ. That is the reason, why we import oranges from Spain and beef from Argentina. We also explain, how factor income distribution affects international trade. In Germany, for example, international trade has caused lower wages for low-skilled workers. We also explain that economies of scale in production mean that a large part of trade within the EU is intra-sectoral, i.e. similar goods are traded.

Dipl.-Kffr. Sophie Keipke

Programme number 2202060   /  Location: Ernst-Lohmeyer-Platz 6 - Hörsaal 1

Tuesdays 14 - 16 hrs

More detailed and up-to-date information will regularly be made available via moodle.

At the end of the semester you can take an exam (Scheinklausur) on “International Trade” and gain a certificate of successful attendance.

Ahmad Barlas, Dipl-Kffr. Sophie Keipke

Programme number 2202117    /  Location: Wollweberstraße 1 - Hörsaal

Wednesdays 10 - 12 hrs

This tutorial will take place as a block module towards the end of the semester.

More detailed and up-to-date information will regularly be made available via moodle.

Dr. rer. pol. Birgit Kirschbaum-Behl

Programme number 2202240

More detailed and up-to-date information will regularly be made available via moodle.

Dr. Philipp Adämmer

Programme number 2219001
More detailed and up-to-date information will regularly be made available via moodle.

In this seminar we will be looking at methods to extract information from (large) data sets and using them to make predictions. The main feature of this course is the statistical programming language R.The seminar will be held in German, but some English texts will be used (e.g. https://r4ds.had.co.nz/index.html). At the end of the course, a short seminar paper (incl. code) will have to be written and presented. Prerequisites for this seminar are an interest in statistics and data science and a willingness to learn the basics of the programming language R.