Format | |
---|---|
BibTeX | |
MARCXML | |
TextMARC | |
MARC | |
DublinCore | |
EndNote | |
NLM | |
RefWorks | |
RIS |
Files
Abstract
We consider whether survey respondentsíprobability distributions, reported as histograms, provide reliable and coherent point predictions, when viewed through the lens of a Bayesian learning model, and whether they are well calibrated more generally. We argue that a role remains for eliciting directly-reported point predictions in surveys of professional forecasters.