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105.599 Microeconometrics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, UE, 1.0h, 2.0EC

Properties

  • Semester hours: 1.0
  • Credits: 2.0
  • Type: UE Exercise
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to

  • explain the maximum likelihood method and the asymptotic properties of ML estimates,
  • explain models for micro data and to chose suitable models for given data and problem settings,
  • compute (ML) estimates and to analyse and to interpret the results.

Subject of course

Exercise sessions for the lecture course Microeconometrics.

Teaching methods

Exercise sessions.

Mode of examination

Immanent

Additional information

The exercise sessions start on March, 9 at 9.15am.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed09:00 - 10:0001.03.2023 - 28.06.2023Sem.R. DB gelb 04 Mikroökonometrie
Microeconometrics - Single appointments
DayDateTimeLocationDescription
Wed01.03.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed08.03.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed15.03.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed22.03.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed29.03.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed19.04.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed26.04.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed03.05.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed10.05.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed17.05.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed24.05.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed31.05.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed07.06.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed14.06.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed21.06.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie
Wed28.06.202309:00 - 10:00Sem.R. DB gelb 04 Mikroökonometrie

Examination modalities

The completed problems have to be marked in TUWEL. Grade distribution:

  • 1: > 85%
  • 2: > 72%
  • 3: > 61%
  • 4: > 50%

Course registration

Begin End Deregistration end
30.01.2023 20:00 05.03.2023 23:59 12.03.2023 23:59

Curricula

Literature

No lecture notes are available.

Previous knowledge

Basic knowledge of linear algebra, probability theory and statistics as well as basic econometrics (linear regression models).

Accompanying courses

Language

German