Absolventen- und Doktorandenseminar

Dozent/in:

Guido Heineck

Angaben:

Seminar, 2 SWS

Termine:

Zeit und Ort nach Vereinbarung Ort und Zeit nach Vereinbarung

Einführung in Stata

Dozent/in:

Daniela Araujo

Angaben:

Übung, 2 SWS

Termine:

Mi, 10:00 - 12:00, RZ/00.06
Fr, 8:00 - 10:00, RZ/00.07
ab 2.11.2022

Lunchtime Seminar

Dozent/in:

Daniela Araujo

Angaben:

Vorlesung

Termine:

Einzeltermin am 4.11.2022, Einzeltermin am 2.12.2022, Einzeltermin am 13.1.2023, Einzeltermin am 10.2.2023, 10:00 - 12:00, FMA/00.08

Mikroökonomik I (TU) Gruppe 2

Dozent/in:

N.N.

Angaben:

Tutorien, 2 SWS

Termine:

Di, 16:00 - 18:00, F21/03.81
ab 13.12.2022

Mikroökonomik I (TU) Gruppe 3

Dozent/in:

Adrian Wirth

Angaben:

Tutorien, 2 SWS

Termine:

Mi, 8:00 - 10:00, F21/02.31
ab 14.12.2022

Mikroökonomik I (TU) Gruppe 5

Dozent/in:

N.N.

Angaben:

Tutorien, 2 SWS

Termine:

Mi, 16:00 - 18:00, F21/03.01
ab 14.12.2022

Mikroökonomik I (TU) Gruppe 7

Dozent/in:

Adrian Wirth

Angaben:

Tutorien, 2 SWS

Termine:

Do, 14:00 - 16:00, F21/02.31
ab 15.12.2022

S: Methoden der empirischen Mikroökonomik

Dozent/in:

Guido Heineck

Angaben:

Seminar, 4 SWS

Termine:

Di, 14:00 - 16:00, F21/02.41
Zeit und Ort nach Vereinbarung
ab 25.10.2022

Tutorial: Methods in Causal Inference Using (Spatial) Big Data with Stata & R

Dozent/in:

Anica Kramer

Angaben:

Übung

Termine:

Fr, 8:00 - 10:00, RZ/00.07
Mi, 10:00 - 12:00, RZ/00.06
We may switch to Wednesday, 10:00 - 12:00 (RZ/00.06) in the course of the semeste
ab 16.12.2022

Voraussetzungen / Organisatorisches:

Participants of the

• “Methoden der Empirischen Mikroökonomik” (WS

22/23; Prof. Heineck);

• “ Einführung in die Bildungsökonomik“ (WS 22/23; Prof.

Anger);

• “Introduction to Stata” (WS 22/23; Dr. Araujo);
• European Economic Studies (EES): Bachelors & Master’s

Program;

• & students of other programs (Bachelor and Master)

Inhalt:

This course introduces the empirical methods that are typically applied to identify causal effects rather than correlation only. Identifying causal effects is of great interest and importance (e.g. in terms of policy evaluation), but also challenging. Against this background, this course deals with the methods of approaching these challenges; covering: Instrumental-Variables (IV) Regression-Discontinuity (RD) Differences-In-Differences (DID) A further purpose of the course is to make students familiar with the literature that has applied these methods to questions in the field of labor and regional economics. Students will work with the statistic software Stata & R. The tutorials will focus on the following: i) how to read and critically reflect an empirical paper, ii) how to implement the mentioned methods using the software packages Stata & R and iii) how to replicate published articles

Ü: Empirische Mikroökonomik

Dozent/in:

Anica Kramer

Angaben:

Übung, 2 SWS

Termine:

Mo, 14:00 - 16:00, F21/03.50
ab 14.11.2022

Ü: Mikroökonomik I

Dozent/in:

Daniel Witt

Angaben:

Übung, 2 SWS

Termine:

Do, 8:00 - 10:00, F21/01.57
ab 10.11.2022

V. Empirische Mikroökonomik

Dozent/in:

Guido Heineck

Angaben:

Vorlesung, 2 SWS

Termine:

Di, 14:00 - 16:00, F21/02.41
ab 25.10.2022

V: Mikroökonomik I

Dozent/in:

Guido Heineck

Angaben:

Vorlesung, 2 SWS

Termine:

Mi, 10:00 - 12:00, F21/01.57
ab 26.10.2022