This paper estimates the evolution of income inequality in 38 European countries from 1980 to 2017 by combining surveys, tax data and national accounts. We develop a harmonized methodology, using machine learning, nonlinear survey calibration and extreme value theory, in order to produce homogeneous pre-tax and post-tax income inequality estimates, comparable across countries and consistent with official national income growth rates. Inequalities have in- creased in a majority of European countries, both at the top and at the bottom of the distribution, especially between 1980 and 2000. The European top 1% grew more than two times faster than the bottom 50% and captured 17% of regional income growth. Relative poverty in Europe went through ...
This paper presents post-tax Distributional National Accounts (DINA) for France. That is, we combine...
In this paper we bridge the gap between two different approaches to measure inequality: one based on...
This paper presents "Distributional National Accounts" (DINA) for France. That is, we combine nation...
This paper estimates the evolution of income inequality in 38 European countries from 1980 to 2017 b...
We combine all available household surveys, income tax and national accounts data in a systematic ma...
International audienceThis article combines all available data to produce pretax and post-tax income...
The evolution of income inequality is becoming a great concern all over the World, particularly sinc...
This paper assembles empirical evidence about the personal distribution of income in Europe and the ...
This paper exploits EU Statistics on Income and Living Conditions longitudinal data 2003–2007 to des...
This paper uses microdata to look at stylised facts of EU-wide income inequality during the 2006-201...
In this paper we use statistical tools and graphic devices in order to give a comprehensive picture ...
Purpose: The purpose of this paper is to analyse the structure of overall inequality in the EU-15 by...
This study applies improved household income data to measure and decompose trends in pan-European in...
This paper presents post-tax Distributional National Accounts (DINA) for France. That is, we combine...
In this paper we bridge the gap between two different approaches to measure inequality: one based on...
This paper presents "Distributional National Accounts" (DINA) for France. That is, we combine nation...
This paper estimates the evolution of income inequality in 38 European countries from 1980 to 2017 b...
We combine all available household surveys, income tax and national accounts data in a systematic ma...
International audienceThis article combines all available data to produce pretax and post-tax income...
The evolution of income inequality is becoming a great concern all over the World, particularly sinc...
This paper assembles empirical evidence about the personal distribution of income in Europe and the ...
This paper exploits EU Statistics on Income and Living Conditions longitudinal data 2003–2007 to des...
This paper uses microdata to look at stylised facts of EU-wide income inequality during the 2006-201...
In this paper we use statistical tools and graphic devices in order to give a comprehensive picture ...
Purpose: The purpose of this paper is to analyse the structure of overall inequality in the EU-15 by...
This study applies improved household income data to measure and decompose trends in pan-European in...
This paper presents post-tax Distributional National Accounts (DINA) for France. That is, we combine...
In this paper we bridge the gap between two different approaches to measure inequality: one based on...
This paper presents "Distributional National Accounts" (DINA) for France. That is, we combine nation...