Multiple priors and comparative ignorance

2021 ◽  
Vol 191 ◽  
pp. 105132
Author(s):  
Igor Kopylov
1915 ◽  
Vol 49 (2) ◽  
pp. 111-148
Author(s):  
Charles Hugh Maltby

In turning over the pages of the Journal, one is struck by the number of papers which would have been rendered far more valuable if more detailed data of the actual expenses of management had been available. Probably less is known about expenses than about any other factor involved in our daily actuarial work; and this comparative ignorance is the more remarkable when we remember the immense amount of thought and research which has been expended on the subjects of Mortality and Interest.Perhaps good reasons existed in the past for this comparative neglect; but it appears to me that the time is approaching—if it has not already arrived—when it will be absolutely necessary to investigate the subject of expenses to the fullest possible extent. To mention only one aspect of the subject, there is a general impression that expenses are tending to increase, and hence it becomes important for each office to ascertain whether this impression is correct in its own case, and if so, the causes of the increase. These questions can only be answered by a full analysis; but if this is possible any increase will be robbed of much of its force, even if its cause cannot be removed. Certainly expenses are at least as worthy of investigation as mortality, and will probably yield more valuable results, since they, at least, are susceptible of regulation.


2020 ◽  
Author(s):  
Aurélien Baillon ◽  
Olivier L’Haridon

Abstract The Arrow–Pratt index, a gold standard in studies of risk attitudes, is not directly observable from choice data. Existing methods to measure it rely on parametric assumptions. We introduce a discrete Arrow–Pratt index, and its relative counterpart, that can be directly obtained from choices. Our approach is general: it is (i) non-parametric, (ii) applicable to both risk and uncertainty, (iii) and robust to probability transformation, non-additive beliefs and multiple priors. Our index can also be used to characterize various decision models through various simple consistency requirements. We analyze its properties and demonstrate how it can be measured.


2020 ◽  
Vol 130 (11) ◽  
pp. 6657-6688 ◽  
Author(s):  
Romain Blanchard ◽  
Laurence Carassus

2020 ◽  
Author(s):  
Martin Dumav ◽  
Maxwell B. Stinchcombe

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