Übung A zu Advanced Macroeconomics

Dozent/in:

Kangkan Choudhury

Angaben:

Übung, 2 SWS

Termine:

Di, 12:00 - 14:00, F21/02.55
ab 3.5.2022

Inhalt:

Macroeconomic analysis is primarily concerned with two issues: (i) developing positive models in order to understand the dynamics of key macroeconomic variables such as output, employment, unemployment, inflation, interest rates, etc.; and (ii) deriving normative prescriptions for macroeconomic policy-making, in particular regarding the proper design of fiscal and monetary policies. The course begins with a discussion of empirical facts regarding business cycles and growth. The second part of the course deals in more detail with several macroeconomic models based on intertemporal optimization along the New Neoclassical Consensus approach. The third part of the course focuses in contrast on the caveats of this theoretical framework, as well as on the alternative modeling approaches.

V: Introduction to Python Programming for Social Sciences

Dozent/in:

Kangkan Choudhury

Angaben:

Vorlesung, 2 SWS, ECTS: 6, Please register in FlexNow as well as in VC until April 30,2022. Later the VC will be password-protected.

Termine:

Mi, 10:00 - 12:00, RZ/01.02
Einzeltermin am 28.7.2022, Einzeltermin am 29.7.2022, 9:00 - 11:00, F21/03.02

Inhalt:

The course aims to make students familiar with the Python programming language commonly used in economic and social research. For this course, no previous knowledge of programming is required. However, students should be familiar with basic algebra and statistical concepts. In the first few sessions the programming syntax and basic building blocks are introduced. Then, after students have obtained some programming skills, different modeling tools and techniques useful for empirical work will be discussed.