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The prudence bias: assessing institutional forecasters´ asymmetric loss functions

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The general posture towards forecasts is often one of scepticism: provided with the same in formation, predictions differ significantly. But the inefficient use of information might not be the single cause to blame. I assess the potential biased behaviour from fiscal and monetary authorities towards over- and underpredictions of key macroeconomic variables. I propose an estimation routine based on GMM to identify asymmetric loss functions and discuss the plau sible underlying economic costs that shape the preferences of institutions and thus respective forecasts. I find that all institutions favour the overprediction of real output growth and mone tary authorities prefer to underpredict inflation, whilst fiscal authorities tend to overpredict it.

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Macroeconomic 1forecasting Loss function Asymmetric preferences Forecast rationality Macroeconometrics

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Licença CC