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econ.GN2026
Which Text Matters: Handling Model Uncertainty in Text-as-Data Regressions, with an Application to Central Bank Communication
Martin Feldkircher, Bernd Prostmaier, Paul Hofmarcher +1
Social scientists routinely convert text into covariates like topic shares, ideal points or sentiment scores, and insert them into statistical models of interest. This two-step des…
econ.GN2022★ 3 cited
Revisiting Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech
Paul Hofmarcher, Jan Vávra, Sourav Adhikari +1
Gentzkow, Shapiro and Taddy, Econometrica Vol 87, No 4, 2019 (henceforth GST) use a supervised text-based regression model to assess changes in partisanship in U.S. congressional s…