This paper studies adaptive estimation of nonlinear regression models with i.i.d. error terms . Previously in the literature, the adaptive maximum likelihood (AMLE) has been proposed only when the densities of the error terms are assumed to be symmetric.

The essential idea of equilibrium search models of labor market behavior is that wage policy matters. In this paper we provide for estimating equilibrium search models using a non-parametric estimator of heterogeneity.