Applying Generalized Pareto Curves to Inequality Analysis | Zendy

Thomas Blanchet | Zendy; Bertrand Garbinti | Zendy; Jonathan Goupille-Lebret | Zendy; Clara Martínez-Toledano | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Applying Generalized Pareto Curves to Inequality Analysis

Author(s) -

Thomas Blanchet,

Bertrand Garbinti,

Jonathan Goupille-Lebret,

Clara Martínez-Toledano

Publication year - 2018

Publication title -

aea papers and proceedings

Language(s) - English

Resource type - Journals

eISSN - 2574-0776

pISSN - 2574-0768

DOI - 10.1257/pandp.20181075

Subject(s) - quantile , pareto principle , pareto distribution , inequality , mathematics , rank (graph theory) , lorenz curve , econometrics , distribution (mathematics) , simple (philosophy) , pareto interpolation , economics , income distribution , generalized pareto distribution , mathematical economics , economic inequality , statistics , gini coefficient , combinatorics , mathematical analysis , philosophy , extreme value theory , epistemology

A generalized Pareto curve is defined as the curve of inverted Pareto coefficients b(p), where b(p) is the ratio between average income or wealth above rank p and the p-th quantile. We present this concept and show how it can be used to better estimate distributions, especially from tax tabulations. By providing a simple decomposition of top shares, we discuss how studying inverted Pareto coefficients can improve the understanding of inequality dynamics. We also show how it helps to better analyze wealth and income concentrations along the distribution, using data for France, Spain, the United States, and China. (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.) (This abstract was borrowed from another version of this item.)

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research