A Simple Consistent Nonparametric Estimator of the Lorenz Curve Conference Paper uri icon

abstract

  • Copyright © 2016 by Emerald Group Publishing Limited All rights of reproduction in any form reserved. We propose a nonparametric estimator of the Lorenz curve that satisfies its theoretical properties, including monotonicity and convexity. We adopt a transformation approach that transforms a constrained estimation problem into an unconstrained one, which is estimated nonparametrically.We utilize the splines to facilitate the numerical implementation of our estimator and to provide a parametric representation of the constructed Lorenz curve. We conduct Monte Carlo simulations to demonstrate the superior performance of the proposed estimator.We apply our method to estimate the Lorenz curve of the U.S. household income distribution and calculate the Gini index based on the estimated Lorenz curve.

author list (cited authors)

  • Zhang, Y. Y., Wu, X., & Li, Q. i.

citation count

  • 3

publication date

  • June 2016