Reading between the lines : uncovering asymmetry in the central bank loss function

We depart from the common reaction function-based approach used to infer central bank preferences. Instead, we extract the tone from the textual information in the central bank communication using both a lexicon-based approach and a language model. We combine the tone with real-time information available to the monetary policy decision-maker and directly estimate the loss function. We find strong and robust evidence of asymmetry in the case of the European Central Bank during 1999-2021: the slope of the loss function was roughly three times steeper when inflation exceeded the target compared to when it was below the target. This represents a significant departure from the quadratic and symmetric monetary policy loss function typically applied in macro models.