Tag Archives: Teaching

MA course at the University of Bern. Time: Monday 10:15-12:00. Location: A-126 UniS. Uni Bern’s official course page. Course assistant: Stefano Corbellini. The course introduces Master students to modern macroeconomic theory. Building on the analysis of the consumption-saving tradeoff and on concepts from general equilibrium theory, the course covers workhorse general equilibrium models of modern macroeconomics, including the representative agent framework, the overlapping generations...

BA course at the University of Bern, taught in German. Time: Monday 14:15-16:00. Location: Audimax. Uni Bern’s official course page. Course assistant: Sally Dubach. Course description: Die Vorlesung vermittelt einen ersten Einblick in die moderne Makroökonomie. Sie baut auf der Veranstaltung „Einführung in die Makroökonomie“ des Einführungsstudiums auf und betont sowohl die Mikrofundierung als auch dynamische Aspekte. Das heisst, sie interpretiert makroökonomische Entwicklungen als das...

BA course at the University of Bern. Time: Monday, 10:15–12:00. Location: H4, 115. Uni Bern’s official course page. The course targets students who have completed their mandatory training in microeconomics, macroeconomics and mathematics and who want to make use of macroeconomic theory in order to analyze questions related to asset prices, bubbles, government debt, or the link between fiscal and monetary policy. The grade may depend on participation in class; small group projects; and/or...

MA course at the University of Bern. Lecture: Monday, 12.15 – 14.00, UniS A027.Session: Tuesday, 12.15 – 14.00, UniS A017, on 5 Mar, 19 Mar, 26 Mar, 16 Apr, 30 Apr, 14 May. Some lecture and session dates may be swapped. Uni Bern’s official course page. Problem sets and solutions can be found here. The course covers macroeconomic theories of fiscal policy (including tax and debt policy) and the interaction between fiscal and monetary policy. Participants should be familiar with the...

MA course at the University of Bern. Time: Monday 10:15-12:00. Location: A-126 UniS. Uni Bern’s official course page. Course assistant: Stefano Corbellini. The course introduces Master students to modern macroeconomic theory. Building on the analysis of the consumption-saving tradeoff and on concepts from general equilibrium theory, the course covers workhorse general equilibrium models of modern macroeconomics, including the representative agent framework, the overlapping generations...

BA course at the University of Bern, taught in German. Time: Monday 14:15-16:00. Location: Audimax. Uni Bern’s official course page. Course assistant: Wjera Yell Leutenegger. Course description: Die Vorlesung vermittelt einen ersten Einblick in die moderne Makroökonomie. Sie baut auf der Veranstaltung „Einführung in die Makroökonomie“ des Einführungsstudiums auf und betont sowohl die Mikrofundierung als auch dynamische Aspekte. Das heisst, sie interpretiert makroökonomische Entwicklungen...

WKO guest professor at the University of Vienna. Public event on 19 January.

MA course at the University of Bern. Time: Monday, 12.15 – 14.00. Location: UniS, A027. Uni Bern’s official course page. TA: Remo Taudien. This course covers macroeconomic theories of fiscal policy (including tax and debt policy) and the interaction between fiscal and monetary policy. Participants should be familiar with the material covered in the course Macroeconomics II. The course grade reflects the final exam grade. The classes follow selected chapters in the textbook Macroeconomic...

BA course at the University of Bern. Time: Monday, 10:15–12:00. Location: UniS, S101. Uni Bern’s official course page. The course targets students who have completed their mandatory training in microeconomics, macroeconomics and mathematics and who are interested to make use of macroeconomic theory in order to analyze questions related to asset prices, bubbles, government debt, or the link between fiscal and monetary policy. The grade may depend on participation in class; small group...

Lucas Kyriacou has posted a Jupyter notebook with a great introduction to Python. From the readme file: This course aims to introduce PhD students to the basics of the popular and powerful programming language called Python. After going through the basics, we will also see some applications such as OLS regression, extraction of information from textual data, data visualization and object-oriented programming. In an extended version of this course we will further discuss various...