A Minimum Norm Quadratic Estimator is developed for situations where some fixed effects and variance components coincide. The study is motivated 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.