Before revision:  The identification strategy motivates an estimation procedure based on penalized sieve minimum distance estimation in the non-parametric instrumental variables framework. We give conditions under which the estimator is consistent and derive its rate of convergence . We present Monte Carlo evidence of its efficacy in finite samples .
After revision:  The identification strategy motivates an estimation procedure based on penalized sieve minimum distance estimator. We derive simple convergence rates under high-level assumptions .