LINKS:
- Faculty of Economics and Business
Administration
- Department of Money and Macroeconomics
- PhD-Program in Economics
- Master of Science in Quantitative Economics
- House of Finance
- Sustainable Architecture for Finance
in Europe
- Faculty of Economics and Business
Administration
- Department of Money and Macroeconomics
- PhD-Program in Economics
- Master of Science in Quantitative Economics
- House of Finance
- Sustainable Architecture for Finance
in Europe
Theodor-W.-Adorno-Platz 3
(Campus Westend)
House of Finance Room 3.48
60323 Frankfurt, Germany
(Directions, Campus map)
office.fuchs@wiwi.uni-frankfurt.de
telephone: +49 (0)69 798 33807
fax: +49 (0)69 798 33925
Datenschutz/Data Protection
© 2009 All right reserved
Macroeconomic Models of Consumption, Saving, and Labor Supply 
Prof. Nicola Fuchs-Schündeln, Ph.D.
This course is intended to help second year PhD students develop a research question in an area of the microfoundations of macroeconomics, and acquire some of the skills needed to answer interesting research questions. The main focus of the course is on quantitative macroeconomic models. We will learn how to write down a model, especially heterogeneous agent models, derive predictions from the model, and evaluate the model performance against empirical counterparts. You will also get familiar with the most heavily used data sets in the research area. We will study dynamic programming and structural estimation techniques, calibration, and reduced form empirical approaches.
Syllabus

Prof. Nicola Fuchs-Schündeln, Ph.D.
This course is intended to help second year PhD students develop a research question in an area of the microfoundations of macroeconomics, and acquire some of the skills needed to answer interesting research questions. The main focus of the course is on quantitative macroeconomic models. We will learn how to write down a model, especially heterogeneous agent models, derive predictions from the model, and evaluate the model performance against empirical counterparts. You will also get familiar with the most heavily used data sets in the research area. We will study dynamic programming and structural estimation techniques, calibration, and reduced form empirical approaches.
Syllabus