We present a comprehensive framework for Bayesian estimation of structural nonlinear dynamic economic models on sparse grids. TheSmolyak operator underlying the sparse grids approach frees global approximation from the curse of dimensionality and we apply it to a Chebyshev approximation of the...

This paper constructs and structurally estimates a dynamic occupational choice model that has two distinct features. First, an occupation is vertically and horizontally differentiated by a multidimensional task complexity measure. This allows a simultaneous analysis of career progression and...