Universität Wien

390006 SE PhD-VGSE: Research Seminar in Applied Microeconomics (2021W)

5.00 ECTS (2.00 SWS), SPL 39 - Doktoratsstudium Wirtschaftswissenschaften
Continuous assessment of course work

Lecturer: Weber Andrea (CEU)

The level of this course requires knowledge of advanced macroeconomics, advanced microeconomics, and advanced econometrics.

Students may apply for this course by sending an email to info@vgse.at including their CV, transcript (Sammelzeugnis) and optionally a recommendation of their thesis advisor.

More information at www.vgse.at
Moodle

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. 24 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Due to COVID restrictions the seminars on Friday 26.11. and Friday 10.12. will be online on zoom

Join Zoom Meeting
https://ceu-edu.zoom.us/j/93191206428?pwd=WTlmWWI4R3p5emtSU3d5Tm44b1ZSQT09

Meeting ID: 931 9120 6428
Passcode: 365637

  • Thursday 18.11. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 26.11. 10:30 - 14:45 Digital
  • Friday 10.12. 10:30 - 14:45 Digital
  • Friday 17.12. 10:30 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 14.01. 10:30 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

This course guides you through the process of empirical research in applied microeconomics, from selecting research ideas and appropriate methods, through collecting data, presenting your work, writing a research paper, to submitting the final paper to a journal. We don’t just talk about these steps but we’ll learn from actual research projects. The course is organized around student presentations of their research ideas and/or projects in progress.

● Prerequisites: Sufficient background in both
o applied econometrics, especially causality (experiments, differences in differences, instrumental variables, regression discontinuity)
o at least one field of applied microeconomics (labor economics, corporate governance, international trade, industrial organization, etc)

Assessment and permitted materials

The course is Pass/Fail

Minimum requirements and assessment criteria

Each student will give one presentation and actively participate in the discussion of other participants’ projects. Participants critique and support one another.

Examination topics

Presentations and discussions will refer to applicable, hands-on experience with how empirical research is done:
○ select a research idea
○ review the literature
○ collect data
○ specify the research design and identification strategy
○ select appropriate tools and estimation methods
○ iterate through analysis
○ ensure reproducibility
○ project presentation
○ write up the results
○ submit paper to a peer-reviewed journal

Reading list

Getting started
● Kadavy, David. 2017. “The Heart To Start: Stop Procrastinating & Start Creating.” Kadavy, Inc.
● Shapiro, Jesse M. “Four Steps to an Applied Micro Paper” https://www.brown.edu/Research/Shapiro/pdfs/foursteps.pdf
Organizing your work
● Gentzkow, Matthew and Jesse M. Shapiro. 2014. “Code and Data for the Social Sciences: A Practitioner’s Guide.” Chicago Booth and NBER. https://web.stanford.edu/~gentzkow/research/CodeAndData.pdf
● Wilson G, Aruliah DA, Brown CT, Chue Hong NP, Davis M, Guy RT, et al. 2014. “Best Practices for Scientific Computing.” PLoS Biol 12(1): e1001745. https://doi.org/10.1371/journal.pbio.1001745
Econometrics, writing and visualization reference
● Cochrane, John H. 2005. “Writing Tips for PhD Students.” University of Chicago. https://faculty.chicagobooth.edu/john.cochrane/research/papers/phd_paper_writing.pdf
● Schwabish, Jonathan. 2014. “An Economist’s Guide to Visualizing Data” https://www.aeaweb.org/articles?id=10.1257/jep.28.1.209
● Cunningham, Scott. 2018. “The Mixtape” https://scunning.com/mixtape.html

Association in the course directory

Last modified: Fr 12.05.2023 00:26