This paper discusses the solution of nonlinear integral equations with noisy integral kernels as they appear in nonparametric instrumental regression. We propose a regularized Newton-type iteration and establish convergence and convergence rate results. A particular emphasis is on instrumental...

The paper of James Heckman is an extremely interesting survey of a huge literature on evaluation estimators with a special attention to matching estimation. The article essentially concentrates on models with two levels of treatment (1 for treated and 0 for non treated). My discussion will...

This paper proposes a new Bayesian approach for estimating, nonparametrically, functional parameters in econometric models that are characterized as the solution of a linear inverse problem. By using a Gaussian process prior distribution we propose the posterior mean as an estimator and prove...