2122 Topics in Macroeconomics
Univ.Prof. Dr. Jesus Crespo Cuaresma
  • LV-Typ
  • Semesterstunden
  • Unterrichtssprache
09.11.2020 bis 20.11.2020
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Doktorat/PhD
Wochentag Datum Uhrzeit Raum
Montag 23.11.2020 09:00 - 12:00 Online-Einheit
Dienstag 24.11.2020 09:00 - 12:00 Online-Einheit
Montag 30.11.2020 09:00 - 12:00 Online-Einheit
Dienstag 01.12.2020 09:00 - 12:00 Online-Einheit
Montag 07.12.2020 09:00 - 12:00 Online-Einheit
Montag 14.12.2020 09:00 - 12:00 Online-Einheit
Dienstag 15.12.2020 09:00 - 12:00 Online-Einheit
Dienstag 12.01.2021 09:00 - 12:00 D2.0.330
Dienstag 19.01.2021 09:00 - 12:00 Online-Einheit

Ablauf der LV bei eingeschränktem Campusbetrieb

Hybrid teaching (alternating physical and online lectures).

Inhalte der LV

This course offers a self-contained presentation of modern methods aimed at assessing specification uncertainty in econometrics, with a particular focus on applications to economic growth. The focus is on model averaging methods and, in particular, on Bayesian approaches to model uncertainty.

Lernergebnisse (Learning Outcomes)

Students will be able to rigorously address model uncertainty in their inference using modern econometric methods. 

Regelung zur Anwesenheit

Attendance is required throughout the course.


Frontal teaching in the first units, coupled with empirical exercises and group work, which will be presented by the students by the end of the course.

Leistung(en) für eine Beurteilung

Assessment is based on class participation (10%), presentation of preliminary results of an empirical assessment (40%) and a paper to be handed in by the end of the course (50%).

Empfohlene inhaltliche Vorkenntnisse

Proficiency in econometrics (graduate level) is required. Knowledge in Bayesian statistics is an advantage, but not a necessity.

Zuletzt bearbeitet: 09.05.2020