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1 Introduction Public lead texts from Swiss newspapers contain most of the information needed to nowcast Swiss GDP growth, that is, to predict the present, the very near future, and the very recent past [1, 2]. Richer text inputs and more complex models add little to that baseline. That result cuts against a common presumption in the recent literature, namely that better text-based nowcasts require more text, more semantic flexibility, or more elaborate models.
High frequency information needed to assess the state of the economy During the Covid-19 crisis, health departments and statistical agencies started to provide a wealth of daily information on the health situation (e.g. new infections, hospitalizations, or excess mortality).
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