This paper proposes a nonparametric bias-reduction regression estimator which can accommodate two empirically relevant data environments. The first data environment assumes that at least one of the predictor variables is discrete. In such an empirical framework, a "cell" approach, which consists...

The identification of improved methods for characterizing crop yield densities has experienced a recent surge in activity due in part to the central role played by crop insurance in the Agricultural Risk Protection Act of 2000 (estimates of yield densities are required for the determination of...