Universität Wien

040044 KU Topics in Environmental Economics (MA) (2024S)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
ON-SITE

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Monday 04.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 05.03. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 11.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 18.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 19.03. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 08.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 09.04. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 15.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 16.04. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 22.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 23.04. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 29.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 30.04. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 06.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 07.05. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 13.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 14.05. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 27.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 28.05. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 03.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 04.06. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 10.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 11.06. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 17.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 18.06. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 24.06. 18:30 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

This course covers current issues in environmental economics, with a focus on how micro-econometric methods can be used to answer research questions in this field.

Selected topics include:

- Climate change
Estimating climate change damages; evaluating effects of climate policies.
- Local pollution (e.g. air and water pollution)
Estimating effects of local pollution on individuals and firms; environmental justice issues.
- Further environmental issues
Biodiversity; deforestation.

The course aims to provide students with an overview of the major questions and debates in environmental economics and a good understanding of how to use empirical tools from econometrics to address them. As the course has a strong empirical focus, knowledge of statistics and applied microeconometrics and basic knowledge of R, Stata or a similar statistical software are expected.

Assessment and permitted materials

The evaluation will be based on a final exam (40%), a take-home assignment (30%, can be done in R, Stata or a similar statistical software) and a presentation of a paper in class (30%).

Minimum requirements and assessment criteria

Final exam, take-home assignment and paper presentation.

Examination topics

All the material covered in class will be relevant for the exams.

Reading list

Published articles and recent working papers in environmental economics. Reading list will be announced in the first session.

For background reading on microeconometric methods:
Stock, J. H., and Watson, M. W. (2020), Introduction to Econometrics, Global Edition. Pearson Education Limited
Wooldridge, Jeffrey M. Introductory econometrics: A modern approach. 7th edition, Cengage learning, 2020.
Angrist, J.D. and Pischke, J.-S. (2009): Mostly Harmless Econometrics: An Empiricst's Companion, Princeton University Press.
Cunningham, Scott. Causal inference: The mixtape. Yale university press, 2021.

Association in the course directory

Last modified: We 13.03.2024 14:25