# 105.599 Microeconometrics This course is in all assigned curricula part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_21",{id:"j_id_21",showEffect:"fade",hideEffect:"fade",target:"isAllSteop"});});This course is in at least 1 assigned curriculum part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_23",{id:"j_id_23",showEffect:"fade",hideEffect:"fade",target:"isAnySteop"});});

2020S, UE, 1.0h, 2.0EC

## Properties

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

## 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.

Immanent

## Course dates

DayTimeDateLocationDescription
Wed15:00 - 16:0004.03.2020 - 11.03.2020Sem.R. DB gelb 04 Mikroökonometrie
Microeconometrics - Single appointments
DayDateTimeLocationDescription
Wed04.03.202015:00 - 16:00Sem.R. DB gelb 04 Mikroökonometrie
Wed11.03.202015:00 - 16:00Sem.R. DB gelb 04 Mikroökonometrie

## Examination modalities

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

• 1: > 80%
• 2: > 70%
• 3: > 60%
• 4: > 50%

## Course registration

Begin End Deregistration end
01.02.2020 00:00 03.03.2020 23:59 03.03.2020 23:59

## 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).

## Miscellaneous

• Attendance Required!

German