Vorlesungsverzeichnis
Suchen Sie hier über ein Suchformular im Vorlesungsverzeichnis der Leuphana.
Lehrveranstaltungen
Applied Causal Analysis Using Stata (Seminar)
Dozent/in: Boris Hirsch
Termin:
wöchentlich | Donnerstag | 09:00 - 11:45 | 14.10.2024 - 31.01.2025 | C 6.317 Seminarraum | Start 1. lecture week
Inhalt: This course covers essential methods used in applied causal analysis: 1. Causal analysis of experimental data 2. Probability models for binary outcomes 3. Instrumental variables estimation 4. Fixed-effects estimation on panel data 5. Differences-in-differences estimation In the first step, the course introduces each method focussing on its correct implementation and interpretation. In the second step, each method is applied to a specific research question from empirical economics using real-world data sets and Stata: 1. Effect of class size on student achievement 2. Discrimination against black job applicants 3. Rate of return to education 4. Effect of wages on individual labour supply 5. Effect of police presence on crime
- Leuphana Bachelor - Major Volkswirtschaftslehre (ab Studienbeginn WiSe 14/15) - VWL-Lehrforschungsprojekt II
- Leuphana Bachelor - Major Volkswirtschaftslehre (bis Studienbeginn WiSe 13/14) - VWL-Lehrforschungsprojekt II
- Leuphana Bachelor - Major Volkswirtschaftslehre (ab Studienbeginn WiSe 14/15) - VWL-Lehrforschungsprojekt I
- Leuphana Bachelor - Major Volkswirtschaftslehre (bis Studienbeginn WiSe 13/14) - VWL-Lehrforschungsprojekt I
- Leuphana Bachelor - Major Economics - Research in Economics II
- Leuphana Bachelor - Major Economics - Research in Economics I
Theory and Empirics of Wage Structures (Stata) (Seminar)
Dozent/in: Christian Pfeifer
Termin:
wöchentlich | Donnerstag | 12:15 - 15:45 | 14.10.2024 - 31.01.2025 | C 6.321 Besprechungsraum | Start 1. lecture week
Inhalt: This course gives students the chance to conduct own empirical research with real microdata by using their prior knowledge from courses in the Economics Major (e.g., Microeconomics, Labor Economics, Orientation in Economics, Econometrics). It starts with a brief introduction and overview of relevant theories from labor economics including human capital theory and discrimination theories. The course further comprises a short introduction to applied econometrics, earnings functions, and Stata applications for estimating earnings functions using the VSE data set. Students also have to work at home through textbook Stata commands and applications and should estimate earnings functions on their own using the supplied VSE. The second part of the course is devoted to own empirical research of students, in which they can choose own topics when estimating earnings functions with Stata. Students have to give a short presentation of their own research idea, write an own empirical paper, and give a final presentation with their results. These three assignments will be graded in the combined examination.
- Leuphana Bachelor - Major Volkswirtschaftslehre (ab Studienbeginn WiSe 14/15) - VWL-Lehrforschungsprojekt I
- Leuphana Bachelor - Major Volkswirtschaftslehre (bis Studienbeginn WiSe 13/14) - VWL-Lehrforschungsprojekt I
- Leuphana Bachelor - Major Volkswirtschaftslehre (ab Studienbeginn WiSe 14/15) - VWL-Lehrforschungsprojekt II
- Leuphana Bachelor - Major Volkswirtschaftslehre (bis Studienbeginn WiSe 13/14) - VWL-Lehrforschungsprojekt II
- Leuphana Bachelor - Major Economics - Research in Economics II
- Leuphana Bachelor - Major Economics - Research in Economics I