Syllabus
Title
2153 Topics in Macroeconometrics
Instructors
Univ.Prof. Dr. Jesus Crespo Cuaresma
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
10/11/22 to 11/06/22
Registration via LPIS
Registration via LPIS
Notes to the course
Subject(s) Doctoral/PhD Programs
Dates
Day | Date | Time | Room |
---|---|---|---|
Wednesday | 11/16/22 | 09:00 AM - 12:00 PM | D4.2.008 |
Wednesday | 11/30/22 | 09:00 AM - 12:00 PM | D4.0.047 |
Wednesday | 12/07/22 | 09:00 AM - 12:00 PM | D4.0.047 |
Wednesday | 12/14/22 | 09:00 AM - 12:00 PM | D2.0.334 Teacher Training Lab |
Wednesday | 12/21/22 | 09:00 AM - 12:00 PM | D4.0.047 |
Wednesday | 01/11/23 | 09:00 AM - 12:00 PM | D4.0.047 |
Wednesday | 01/18/23 | 09:00 AM - 12:00 PM | D4.0.047 |
Wednesday | 01/25/23 | 09:00 AM - 12:00 PM | D4.0.047 |
Wednesday | 02/01/23 | 09:00 AM - 12:00 PM | D4.0.047 |
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.
Students will be able to rigorously address model uncertainty in their inference using modern econometric methods.
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.
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%).
Last edited: 2022-04-25
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