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Einrichtungen >> Fakultät Sozial- und Wirtschaftswissenschaften >> Bereich Volkswirtschaftslehre >>
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Professur für Volkswirtschaftslehre, insbes. Angewandte Wirtschaftsforschung
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Übung B zu Advanced Macroeconomics -
- Dozent/in:
- Benjamin Lojak
- Angaben:
- Übung
- Termine:
- Do, 14:00 - 16:00, F21/02.31
Einzeltermin am 29.5.2018, 12:00 - 14:00, F21/03.02
- 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 policymaking, in particular regarding the proper setting of fiscal and monetary policies. The course begins with a discussion of empirical facts regarding business cycles and growth to be explained by macroeconomic models and then provides an example of the role of economic policy as a macroeconomic stabilization mechanism based on a traditional reduced-form model of the macro-economy. The second part of the course deals in more detail with several building blocks for macroeconomic models based on intertemporal optimization along the neoclassical tradition. The third part of the course focuses in contrast on the caveats of this theoretical framework, as well as on the alternative modeling approaches.
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V/S: Angewandte Wirtschaftsforschung 1: Programming in Python for Macroeconomists -
- Dozent/in:
- Joep Lustenhouwer
- Angaben:
- Seminar
- Termine:
- Di, 14:00 - 16:00, RZ/00.07
Einzeltermin am 2.5.2018, Einzeltermin am 23.5.2018, 14:00 - 16:00, RZ/00.07
- Inhalt:
- In this course, students will be made familiar with the programming language python . In the first part of the course some basics will be covered, that we will use later in the course. In the second part, we will write codes to solve, study and simulate simple macroeconomic models. These exercises will start out relatively simple, and slowly become more complex. In the final part of the course, students will work on their final assignments, that builds on everything they have learned in the course.
During the lectures, students will have the opportunity to work themselves on programming exercises. However, they are also expected to make exercises at home.
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