A Test of Information Aversion
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The standard Bayesian model implies that information can never have a negative value. We put this implication to the proof. Our paper provides the first test of the value (positive or negative) of information under uncertainty. We show that the ``Bayesian implication'' stands in conflict with the information-averse behavior that is revealed in our experiment. This behavior demonstrates that the value of truthful and unambiguous information may indeed be negative. Our findings complement predictions from recent theoretical work in showing that negative value of information correlates with ambiguity aversion. This highlights the importance of counseling for decision-making under uncertainty' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["value of information"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The standard Bayesian model implies that information can never have a negative value. We put this implication to the proof. Our paper provides the first test of the value (positive or negative) of information under uncertainty. We show that the ``Bayesian implication'' stands in conflict with the information-averse behavior that is revealed in our experiment. This behavior demonstrates that the value of truthful and unambiguous information may indeed be negative. Our findings complement predictions from recent theoretical work in showing that negative value of information correlates with ambiguity aversion. This highlights the importance of counseling for decision-making under uncertainty' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The standard Bayesian model implies that information can never have a negative value. We put this implication to the proof. Our paper provides the first test of the value (positive or negative) of information under uncertainty. We show that the ``Bayesian implication'' stands in conflict with the information-averse behavior that is revealed in our experiment. This behavior demonstrates that the value of truthful and unambiguous information may indeed be negative. Our findings complement predictions from recent theoretical work in showing that negative value of information correlates with ambiguity aversion. This highlights the importance of counseling for decision-making under uncertainty
value of information