Zur JKU Startseite
Institut für Angewandte Statistik
Was ist das?

Institute, Schools und andere Einrichtungen oder Angebote haben einen Webauftritt mit eigenen Inhalten und Menüs.

Um die Navigation zu erleichtern, ist hier erkennbar, wo man sich gerade befindet.


Forschungsseminar am Institut für Angewandte Statistik

19. Mai - Paul Hofmarcher, Department of Economics, Paris-Lodron-University Salzburg: Gaining Insights on US Senate Speeches Using a Time Varying Text Based Ideal Point Model

Paul Hofmarcher

zoom link, öffnet eine externe URL in einem neuen Fenster

meeting ID: 937 6054 7545

password: 946296


Estimating political positions of lawmakers has a long tradition in political science and usually lawmakers’ votes are used to quantify their political positions. But lawmakers also give speeches or press statements. In this work we present a time varying text based ideal point model (TV-TBIP) which allows to study political positions of lawmakers in a completely unsupervised way. In doing so, our model combines the class of topic models with ideal point models in a time-dynamic setting.

Our model is inspired by the idea of political framing, so that specific words or terms used when discussing a topic can convey political messages.

The insights of our model are twofold: Firstly, it allows to detect how political discussion of certain topics has changed over time, and secondly it estimates ideological positions of lawmakers on a party level. Using only the texts of Senate speeches, our model identifies US-senators along an interpretable progressive-to-moderate spectrum.

We apply our model to nearly 40 years of US Senate house discussions between 1981 and 2017.


Datum & Uhrzeit


15:30 - 17:00 Uhr

Meinem Kalender hinzufügen


S2 Z74, Science Park 2