Universität Wien

210073 SE BAK11: European Union and Europeanisation (2023S)

'Comparative Political Economy - An Integrated, Hands-on Introduction Using R’

6.00 ECTS (2.00 SWS), SPL 21 - Politikwissenschaft
Continuous assessment of course work

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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

Note that we will have a block session on Friday, March 17. It is essential (!) that you are able to attend this session.

  • Thursday 09.03. 15:00 - 16:30 Hörsaal 1 (H1), NIG 2.Stock
  • Thursday 16.03. 15:00 - 16:30 Hörsaal 1 (H1), NIG 2.Stock
  • Friday 17.03. 13:15 - 18:15 Hörsaal 3 (H3), NIG 2. Stock
  • Thursday 23.03. 15:00 - 16:30 Hörsaal 1 (H1), NIG 2.Stock
  • Thursday 30.03. 15:00 - 16:30 Hörsaal 1 (H1), NIG 2.Stock
  • Thursday 20.04. 15:00 - 16:30 Hörsaal 1 (H1), NIG 2.Stock
  • Thursday 27.04. 15:00 - 16:30 Hörsaal 1 (H1), NIG 2.Stock
  • Thursday 04.05. 15:00 - 16:30 Hörsaal 1 (H1), NIG 2.Stock
  • Thursday 11.05. 15:00 - 16:30 Hörsaal 1 (H1), NIG 2.Stock
  • Thursday 25.05. 15:00 - 16:30 Hörsaal 1 (H1), NIG 2.Stock
  • Thursday 01.06. 15:00 - 16:30 Hörsaal 1 (H1), NIG 2.Stock
  • Thursday 29.06. 15:00 - 16:30 Hörsaal 1 (H1), NIG 2.Stock

Information

Aims, contents and method of the course

This course offers an integrated and hands-on introduction to comparative political economy (CPE) and R - no prior knowledge of either is required. CPE is a subfield of political science concerned with the comparative study of how (democratic) politics shapes, constrains, and supports the (capitalist) economy. R is a free and open-source programming language for statistical computing and graphics. The point behind teaching both in one course is to allow students to get the best of both worlds. On the one hand, they will get a good sense for how to actually do comparative political research: how to get data, how to bring them in the right shape, how to visualize them, and how to analyze them in basic ways. On the other hand, students will get a practical but also substantively interesting introduction to R. After basic introductions to both CPE and R, we will have 4 substantive blocks where we discuss CPE papers in one session and do related analyses or play around with similar data in the other. The goal is not full replication, but learning, in principle, how to get CPE data, transform them, and use them to address substantively important questions such as: Why does it cost a fortune to attend university in some (European) countries while it’s essentially free in others? Why are some (European) states doing a lot to combat climate change while others don’t? Why is home ownership more prevalent in some (European) societies and renting in others? What is the relationship between media ownership and media bias in various (European) countries?

Assessment and permitted materials

Students are required to attend classes and come prepared. Three assignments will make up their final grade (their will be no student presentations). The first assignment needs to be done by every student themselves, whereas the second and third assignment can also be done in groups of two.

• The first assignment consists of two in-depth response papers on two of the four substantive readings in the second half of the class. These reflection papers should be between 600 and 800 words and will make up 20% of the overall grade. Students are expected carefully reflect on the approaches taken in the studies we read, criticize their theoretical or empirical shortcomings, and briefly sketch an alternative way of answering the same questions or a follow-up study that builds on or complements the original study.

• The second assignment consists of 4 short and basic coding tasks that requires students to import, transform, and visualize data related to the various substantive areas we cover. This, too, will make up 20% of their overall grade. Assignments will be administered through Posit Cloud (formerly RStudio Cloud). While there will be a mandatory assignment after the block introduction to R, students can skip one of the four assignments for the coding sessions of the 4 thematic blocks (they can freely choose which one).

• The third assignment will be a final research paper that independently develops a CPE-related research questions and starts elaborating and answering it with data. Elaborating means that students use R to set up an empirical puzzle or potentially interesting question (e.g. by showing an interesting correlation). Answering means using visualization, descriptive analysis, or basic inferential statistics to sketch an answer or possible ways of going about answering the question more systematically. The emphasis here is less on having a fully-fledged, well-polished final paper than on demonstrating that you have understood how one would could, in principle, go about developing, theoretically grounding, and answering a CPE-related research question. Ideally, you can build on your reflection papers and coding experience from the first two assignments; and perhaps you can even build on your research paper in your B.A. thesis. This final research paper will make up 60% of your overall grade. It is meant to be between 3000-4000 words long (if you decide to write the paper with a fellow student, it should be between 5500-7000 words long). The deadline for the paper will be Friday, August 18, 2023.

Minimum requirements and assessment criteria

You need to submit all the required assignments to pass the course. Your final grade will be the weighted average of these assignments. What is important to me when it comes to grading are two things. First, stick to the task at hand. The response paper should be critical reflection piece, not a summary, for example. Second, put a bit of effort into your assignments, or at least make it look that way. Writing clean and crips papers or well-commented code are important skills, not just at university.

Also: you don’t need to understand everything or do everything perfectly, have read a ton of additional literature, or write in a fancy way to get a very good grade. Do the task as well as you can, show me that you’ve thought reasonably hard about things, and just try to make sense. Easier said than done of course, so really do reach out if you’re lost (instead of covering it up in jargon). I have also collected general advise for how to write a good term paper on my website, which might be helpful.

Examination topics

Reading list

see syllabus on moodle

Association in the course directory

Last modified: Tu 14.03.2023 12:09