This paper proposes plug-in bandwidth selection for kernel density estimation with discrete data via minimization of …

This paper addresses issues of specification testing for the travel cost method (TCM). Two nonparametric approaches to … TCM analysis are presented. In addition, semi- nonparametric count models for TCM are developed.A numerical illustration …

yields. Using historical county corn yield data for Arkansas and Louisiana and nonparametric methods, this empirical analysis …

heterogeneity. This paper proposes two nonparametric slope estimation where the unobserved effect is treated as fixed across cross … variable. Simulation results suggest that the new nonparametric estimators perform better than the parametric counterparts. We …. In this paper we estimate nonparametric slope of age and tenure on earnings using NLSY data and compare it to the …

metric is based on entropy, a phenomenon well known in engineering. … paper develops a metric to quantify the remanufacturability incorporated into the new product at the design stage. The …

discrete Walsh functions that have been used to measure symmetropy (an object related to symmetry and entropy) of fracture …

This paper generalizes the nonparametric approach to option pricing of Stutzer (1996) by demonstrating that the … the clean analytic structure of imposing moment restrictions to price options, yet demonstrates that the nonparametric …