Publication Date: October 1988
The standard Cauchy distribution is completely characterized by theproperty that it has no atmos and is distributionally equivalent under the involution X → –1/X, i.e., X ≡ –1/X. Since maximum likelihood is invariant to the choice of normalization rule in structural equation estimation this property establishes that the LIML estimator is standard Cauchy in the leading case of a canonical structural equation. This is a proof by identifying characteristics and is a major improvement over the usual apparatus of change of variable methods and reductions by multiple integration.
The new approach has applications in many other contexts. A second example considered in the paper is the unidentiﬁed ARMA with degenerate common factors. Such models commonly arise from overﬁtting or overdiﬀerencing. They have eluded conventional asymptotic methods for many years. Yet they are resolved quite simply by the present approach, which yields both an exact ﬁnite sample theory and the relevant asymptotics.
Canonical form, Cauchy property, Identifying characteristics, Involution, Leading case, Maximum likelihood, Unidentiﬁed model