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several heuristics can reduce the typical overconfidence of the individual estimates. We re-analyzed data from Glaser, Langer …
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The calibration of probability or confidence judgments concerns the association between the judgments and some estimate of the correct probabilities of events. Researchers rely on estimates using relative frequencies computed by aggregating data over observations. We show that this approach...
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Overprecision is the most robust type of overconfidence. We present a new method that significantly reduces this bias …
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produtores brasileiros, para garantir a proteção de preço do produto........This paper aimed to identify signs of overconfidence … perceive a risk that is lower than that of the market. Finally, the paper concludes that the overconfidence effect can …
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Probability forecasts play an important role in many decision and risk analysis applications. Research and practice over the years have shown that the shift towards distributional forecasts provides a more accurate and appropriate means of capturing risk in models for these applications. This...
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Discrete choice experiments (DCEs) often present concise choice scenarios that may appear incomplete to respondents. To allow respondents to express uncertainty arising from this incompleteness, DCEs may ask them to state probabilities with which they expect to make specific choices. The...
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