Using the soon to be released annual LIS data series from Lithuania for 2009-2017, Gintare takes a closer look at the poverty trends among the elderly and identifies some of the factors behind these trends.
Following Ranaldi’s ICI index, Roberto Iacono and Elisa Palagi study how the heterogeneity in the factor income shares of individuals compares in the Nordic countries.
Pedro Salas Rojo and Juan Gabriel Rodríguez use Machine Learning techniques to explore the role of any inheritances received in shaping wealth distribution in five OECD countries.
Launch of a new version of LISSY which includes a fully web-based interface and graphing functionalities.
LIS data included in Khan Academy tutorial!
Ninth call for the InGRID-2 Visiting Grants is Now Open. Deadline for application is May 1, 2020.
Due to the current outbreak of Coronavirus (COVID-19), the 2020 LIS Summer Workshop has been cancelled.
Carlos Gradín showcases common inequality measures (Gini & Mean Log Deviation) decomposed by different social strata.
In this article, Marco Ranaldi discusses a novel approach to distributional analysis.
In this article, Arthur B. Kennickell develops illustrative examples applied to the Survey of Consumer Finances to highlight some of the problems in making comparisons of wealth inequality measures when there are specific defects in the measurement of the upper tail of the distribution.