For two periods an expert E announces his forecast of the state to a decision-maker D who chooses action. They disagree about the precision of the probability assessments. At the end of period 1 the state is observed. In the last period E is shown to make inflated announcements, more extreme than his forecasts. Despite countable equilibria, full revelation is never realised. When in period 1 E is interested in reputation only, the initial equilibrium partition is finite, and E makes initial announcements of higher uncertainty with respect to his forecasts. When in period 1 E is interested in action too, reputational concerns mitigate exaggerated reports.

Valsecchi, I. (2023). Forecasts as Repeated Cheap Talk from An Expert of Unknown Statistical Bias. Fondazione Eni Enrico Mattei.

Forecasts as Repeated Cheap Talk from An Expert of Unknown Statistical Bias

Valsecchi, I
2023

Abstract

For two periods an expert E announces his forecast of the state to a decision-maker D who chooses action. They disagree about the precision of the probability assessments. At the end of period 1 the state is observed. In the last period E is shown to make inflated announcements, more extreme than his forecasts. Despite countable equilibria, full revelation is never realised. When in period 1 E is interested in reputation only, the initial equilibrium partition is finite, and E makes initial announcements of higher uncertainty with respect to his forecasts. When in period 1 E is interested in action too, reputational concerns mitigate exaggerated reports.
Monografia o trattato scientifico - Monografia di Ricerca - Prima edizione
cheap-talk, expert, statistical bias
English
26-ott-2023
2023
Fondazione Eni Enrico Mattei
34
https://www.feem.it/en/publications/forecasts-as-repeated-cheap-talk-from-an-expert-of-unknown-statistical-bias/
Valsecchi, I. (2023). Forecasts as Repeated Cheap Talk from An Expert of Unknown Statistical Bias. Fondazione Eni Enrico Mattei.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/459040
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