  An economic model of crime is used to explore the consistent estimation of a
simultaneous linear equation without recourse to instrumental variables. A
maximum-likelihood procedure (NISE) is introduced, and its results are compared
to ordinary least squares and two-stage least squares. The paper is motivated
by previous research on the crime model and by the well-known practical problem
that valid instruments are frequently unavailable.
