  Given a statistical functional of interest such as the mean or median, a
(strict) identification function is zero in expectation at (and only at) the
true functional value. Identification functions are key objects in forecast
validation, statistical estimation and dynamic modelling. For a possibly
vector-valued functional of interest, we fully characterise the class of
(strict) identification functions subject to mild regularity conditions.
