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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…
cs.CL2026
From Tone to Trajectory: Continuous Sentiment and the Shape of Monetary Policy Communication
Martin Feldkircher, Márton Kardos, Kristoffer Laigaard Nielbo
Central bank press conferences are not merely information releases --- they are structured narratives. We study whether the shape of sentiment within a statement, not just its aver…