  This paper develops a set of test statistics based on bilinear forms in the
context of the extremum estimation framework with particular interest in
nonlinear hypothesis. We show that the proposed statistic converges to a
conventional chi-square limit. A Monte Carlo experiment suggests that the test
statistic works well in finite samples.
