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Lehrveranstaltungen
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Stata-Kurs für Fortgeschrittene -
- Dozent/in:
- Anica Kramer
- Angaben:
- Übung, 2 SWS
- Termine:
- Mi, 10:00 - 12:00, RZ/00.05
ab 24.4.2019
- Inhalt:
- The statistics software Stata is one of the most widely used software in eco-nomics and social sciences. This course offers students the possibility to learn about this software on an advanced level.The course is open for participants of the course Applied Economics of Education and, if capacity is available, for students of other programs (Bachelor and Master). In general, the tutorial is relevant for those students who aim to write a term paper in an applied economics course or who want to write an empirical BA or MA thesis in the field of labor, education or population economics.
Software: Free Stata licenses are offered via campus or in PC-Pools.
- Empfohlene Literatur:
- Cameron, A. C., & Trivedi, P. K. (2010). Microeconometrics using Stata, re-vised edition. StataCorp LP.
VC Course Einführung in Stata (WS18/19)
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VL: Applied Economics of Education -
- Dozent/in:
- Anica Kramer
- Angaben:
- Vorlesung, 2 SWS
- Termine:
- Di, 10:00 - 12:00, F21/03.81
ab 30.4.2019
- Inhalt:
- This course introduces into the empirical methods that are typically applied in order 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 approaching these challenges; covering:
Panel data techniques
Instrumental-Variable (IV) approach
Regression-Discontinuity (RD) approach
Differences-In-Differences (DID) approach
A further purpose of the course is to make students familiar with the litera-ture that has applied these methods to questions in the field of education economics.
- Empfohlene Literatur:
- Verbeek, Marno (2012): A Guide to Modern Econometrics. 4th edition. Chichester: John Wiley.
Cameron, Colin A. und Pravin K. Trivedi (2005): Microeconometrics. Methods and Applications. Cambridge: Cambridge University Press [selected chap-ters]
Angrist, J.D., and J.S. Pischke (2009), Mostly Harmless Econometrics, Princeton University Press.
Further literature will be announced in class.
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UnivIS ist ein Produkt der Config eG, Buckenhof |
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