Microeconometrics B: Limited Dependent Variables and Sample Selection – SoSe 2024

 

Lecturer: Dr. Manuel Denzer (lecture), M.Sc. Ying Liang (tutorial)
ID Number: 6120 (Lecture), 6125 (Tutorial)
Contact Time: 2 SWS lecture and 2 SWS tutorial
Credit Points: 6 ECTS for master students
Language: English
Assessment: Written exam
Time/Place: The lecture will be given in hybrid form (in-person and online sessions).
All tutorials will be given as in-person sessions

 

# Date Time Event Room
1 25.04.2024 8:15 - 9:45 Lecture 1 PC-Pool 265
2 25.04.2024 14:15 - 15:45 Lecture 2 PC-Pool 265
3 26.04.2024 8:15 - 9:45 Lecture 3 PC-Pool 265
4 26.04.2024 12:15 - 13:45 Lecture 4 PC-Pool 265
5 30.04.2024 12:15 - 13:45 Tutorial 1 PC-Pool 265
6 03.05.2024 8:15 - 9:45 Lecture 5 MS Teams
7 07.05.2024 12:15 - 13:45 Tutorial 2 PC-Pool 265
8 10.05.2024 8:15 - 9:45 Lecture 6 MS Teams
9 14.05.2024 12:15 - 13:45 Tutorial 3 PC-Pool 265
10 21.05.2024 12:15 - 13:45 Tutorial 4 PC-Pool 265
11 24.05.2024 8:15 - 9:45 Lecture 7 MS Teams
12 31.05.2024 8:15 - 9:45 Lecture 8 MS Teams
13 04.06.2024 12:15 - 13:45 Tutorial 5 PC-Pool 265
14 06.06.2024 8:15 - 9:45 Lecture 9 PC-Pool 265
15 06.06.2024 14:15 - 15:45 Lecture 10 PC-Pool 265
16 07.06.2024 8:15 - 9:45 Lecture 11 PC-Pool 265
17 07.06.2024 12:15 - 13:45 Lecture 12 PC-Pool 265
18 11.06.2024 12:15 - 13:45 Tutorial 6 PC-Pool 265
19 14.06.2024 8:15 - 9:45 Tutorial 7 PC-Pool 265
20 18.06.2024 12:15 - 13:45 Tutorial 8 PC-Pool 265
21 21.06.2024 8:15 - 9:45 Lecture 13 PC-Pool 265
22 25.06.2024 12:15 - 13:45 Tutorial 9 PC-Pool 265
23 28.06.2024 8:15 - 9:45 Lecture 14 MS Teams
24 02.07.2024 12:15 - 13:45 Tutorial 10 PC-Pool 265
25 05.07.2024 8:15 - 9:45 Lecture 15 MS Teams
26 09.07.2024 12:15 - 13:45 Tutorial 11 PC-Pool 265
27 12.07.2024 8:15 - 9:45 Lecture 16 MS Teams

The course covers the following topics: binary outcome models, corner solution models, censored and truncated regression models, count data models, sample selection corrections, multinominal response models.

Class material and handouts can be downloaded from the e-learning platform ILIAS.