Log-transform kernel density estimation of income distribution

Citations Over TimeTop 20% of 2014 papers

Abstract

Our paper Log-transform kernel density estimationof income distribution, written with Emmanuel Flachaire is now available on http://papers.ssrn.com/id=2514882, Standard kernel density estimation methods are very often used in practice to estimate density function. It works well in numerous cases. However, it is known not to work so well with skewed, multimodal and heavy-tailed distributions. Such features are usual with income distributions, defined over the positive support. We first show th...

Related Papers

• → Density Estimation for Statistics and Data Analysis(2018)15,848 cited
• → A Reliable Data-Based Bandwidth Selection Method for Kernel Density Estimation(1991)2,630 cited
• → Probability Density Function Estimation Using Gamma Kernels(2000)362 cited
• → Log-Transform Kernel Density Estimation of Income Distribution(2016)28 cited
• THE STUDY OF FLOOD FREQUENCY ESTIMATES USING CAUCHY VARIABLE KERNEL(2001)