Year: 2026
Type: preprint
Abstract: In this study, we introduce a new Bivariate Excess Wealth Transform (BEWT) to study excess wealth characteristics in bivariate settings. The proposed transform is constructed using conditional quantile functions and their corresponding conditional quantile densities. We establish fundamental properties of the proposed transform and derive some characteristic relationship for some well known bivariate lifetime models. Nonparametric weighted empirical estimation of BEWT has been proposed; theoretical and numerical validation of the method has also been considered in the study, along with a real data analysis based on the Eurosystem Household Finance and Consumption Survey.
Source: arXiv (Cornell University)
Authors: Sunoj, S. M., Babu, Anjali
Institution: Cochin University of Science and Technology
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7223674998