revisiting group differences in high-dimensional choices: method and application to congressional speech (replication data)

Dataset and replication code for "Revisiting group differences in high-dimensional choices: method and application to congressional speech” by Paul Hofmarcher (Journal of Applied Econometrics). This project combines ideas of topic models and ideal point models to analyze the change in partisanship in US Congress over time.

Data and Resources

Readme.pdf PDF
Provides instructions how to estimate our model.
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TVTBIP-master.zip .zip
Several python and R scripts that perform the preprocessing, analysis,...
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Suggested Citation

Hofmarcher, Paul; Vávra, Jan (2025): Revisiting Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech (replication data). Version: 1. Journal of Applied Econometrics. Dataset. http://dx.doi.org/10.15456/jae.2025027.1657744625