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Root number
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515873 |
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Semester
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FS2026 |
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Type of course
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Seminar |
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Allocation to subject
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Economics |
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Type of exam
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Presentation |
| Title |
PhD Seminar: Quantitative Economic History: Text Analysis |
| Description |
*** IMPORTANT ***
For the most updated administrative course information (date changes, room changes etc) please always refer to the KSL page only and not to the Info page in ILIAS – the ILIAS infopage will not be updated!
Schedule: 02.-06.02.2026, 09.15-12.00 and 13.15-17.00 hrs
Room A222, UniS (02.-05.02.2026)
Room D004, UniS (06.02.2026)
this course has limited slots (6) - please register in KSL for participation (open from 23.01.-28.01.2026)
Written texts provide a potentially rich source of information on economic history. Quantifying such information through automated text analysis can serve as an extremely powerful too to synthesize large amounts of information, thereby enabling the detection, and the creation of empirical measures, of patterns, sentiments, and comparisons across time, sources, and space, providing new insights into historical settings. This course introduces students to the approaches and methods underlying quantitative analysis of textual data. As such it will discuss the underlying theoretical assumptions, provide substantive applications of the methods, and the respective implementations in the R statistical programming language. Each session combines lectures with practical, hands-on exercises to apply the methods on actual texts, dealing with practical issues in each step of the research process.
Literature:
Grimmer, J., Roberts, M. E., & Stewart, B. M. (2022). Text as data: A new framework for machine learning and the social sciences. Princeton University Press.
Bernauer, J., & Wohlmann, A. (2025). Quantitative text analysis using R: scraping, preparing, visualising and modelling data. SAGE Publications Limited.
W.VanAtteveldt, D. Trilling, and C. A. Calderón (2022). Computational Analysis of Communication: A Practical Introduction to the Analysis of Texts, Networks, and Images with Code Examples in Python and R. Hoboken: Wiley-Blackwell. |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Eric Albert Strobl, Volkswirtschaftliches Institut (VWI) - Mikroökonomie ✉
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ECTS
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6 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Monday 2/2/2026 09:15-17:00
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Tuesday 3/2/2026 09:15-17:00
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Wednesday 4/2/2026 09:15-17:00
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Thursday 5/2/2026 09:15-17:00
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Friday 6/2/2026 09:15-17:00
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Sunday 29/3/2026 00:05-23:55
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Rooms
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| External rooms |
A222, UniS
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D004, UniS
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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Öffentlicher Bereich
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