A Minimum Norm Quadratic Estimator is developed for situations where s
ome fixed effects and variance components coincide. The study is motiv
ated by a semiparametric latent variable model frequently encountered
in insurance, where a Poisson assumption induces identity between the
mean and the within-unit variance. The method is applied to authentic
group life insurance data, and its performance is also illustrated by
simulations.