Characterization of Proper and Strictly Proper Scoring Rules for Quantiles

We give necessary and sufficient conditions for a scoring rule to be proper (or strictly proper) for a quantile if utility is linear, and the distribution is unrestricted. We also give results when the set of distributions is limited, for example, to distributions that have first moments.